Publications

A. Aubry, V. Carotenuto, A. De Maio and L. Pallotta, "Adaptive Detection Schemes for Multistatic/Polarimetric Radar Networks," IEEE Transactions on Aerospace and Electronic Systems, 2026. DOI: 10.1109/TAES.2026.3655255

L. Pallotta, and P. Di Marco. Uplink Sum-Rate Optimization in RIS-Assisted NOMA Systems via Conjugate Gradient Descent Method. IEEE Open Journal of the Communications Society, Vol. 6, pp. 9764-9774, 2025. DOI: 10.1109/OJCOMS.2025.3630049

D. Hanis, L. Pallotta, A. Aubry, A. Belhadj-Aissa and A. De Maio. Covariance Symmetries Classification in Multitemporal/Multipass PolSAR Images. IEEE Trans. on Geoscience and Remote Sensing,63:1-14, 2025, Art no. 5215214. DOI: 10.1109/TGRS.2025.3584451  

A. Aubry, P. Babu, A. De Maio, and L. Pallotta. Off-Grid Multi-Snapshot Spectrum Sensing for Cognitive Radar. IEEE Trans. On Aerospace and Electronic Systems, 61(4):8641-8658, 2025. DOI: 10.1109/TAES.2025.3542747

D. Hanis, L. Pallotta, K. Hadj-Rabah, A. Bouaraba and A. Belhadj-Aissa, "Covariance Matrix Estimation via Geometric Median in Highly Heterogeneous PolSAR Images," IEEE Geoscience and Remote Sensing Letters, 22:1-5, 2025, Art no. 2502805. DOI: 10.1109/LGRS.2025.3565808.

D. Hanis, K. Hadj-Rabah, A. Belhadj-Aissa, and L. Pallotta. Dominant Scattering Mechanism Identification from Quad-Pol-SAR Data Analysis. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 17, 14408-14420, 2024. DOI: 10.1109/JSTARS.2024.3439879

A. Aubry, A. De Maio, and L. Pallotta. A Priority-Based Scheduling Scheme for Search, Track, and Communications in MPARS. IEEE Trans. on Radar Systems, 2, 471-481, 2024. DOI: 10.1109/TRS.2024.3394896

A. Aubry, A. De Maio, and L. Pallotta. Power-Aperture Resource Allocation for a MPAR with Communications Capabilities. IEEE Trans. on Vehicular Technology, 73(6):7474-7488, 2024. DOI: 10.1109/TVT.2024.3357249

L. P. Garcia, L. Pallotta, C. Clemente, G. Giunta, J. J. Soraghan. A Cross-Cross-Correlation based Method for Joint Coregistration of Rotated Multitemporal SAR Images. IET Radar, Sonar & Navigation, 18(1), 198-209, 2024. DOI: https://doi.org/10.1049/rsn2.12493

L. Pallotta and M. Tesauro. Outlier Rejection by means of Median Matrices for Polarimetric SAR Covariance Symmetry Classification. IEEE Geoscience and Remote Sensing Letters, 20(4007105):1-5, 2023. DOI: 10.1109/LGRS.2023.3290722

L. Yan, L. Pallotta, G. Giunta, and D. Orlando. Robust Target Localization for Multistatic Passive Radar Networks. IEEE Sensors Letters, 7(7):1-4, 2023. DOI: 10.1109/LSENS.2023.3286805

L. Pallotta and M. Tesauro. Screening Polarimetric SAR Data via Geometric Barycenters for Covariance Symmetry Classification. IEEE Geoscience and Remote Sensing Letters, 20:1-5, 2023. DOI: 10.1109/LGRS.2023.3250741

G. Giunta, L. Pallotta, and D. Orlando. Detecting Sensor Failures in TDOA-based Passive Radars: A Statistical Approach based on Outlier Distribution. IEEE Trans. on Aerospace and Electronic Systems, 59(3):2176-2187, 2023. DOI: 10.1109/TAES.2022.3210893

L. Pallotta, G. Giunta, C. Clemente, and J. J. Soraghan. SAR Coregistration by Robust Selection of Extended Targets and Iterative Outlier Cancellation. IEEE Geoscience and Remote Sensing Letters, 19(4501405):1-5, 2022. DOI: 10.1109/LGRS.2021.3132661

L. Pallotta and G. Giunta. Accurate Delay Estimation for Multi-Sensor Passive Locating Systems Exploiting the Cross-Correlation between Signals Cross-Correlations. IEEE Trans. on Aerospace and Electronic Systems, 58(3):2568-2576, 2022. DOI: 10.1109/TAES.2021.3116927

L. Pallotta. Reciprocity Evaluation in Heterogeneous Polarimetric SAR Images. IEEE Geoscience and Remote Sensing Letters, 19(4000705):1-5, 2022. DOI: 10.1109/LGRS.2020.3017518

F. Benedetto, G. Giunta, and L. Pallotta. Unauthorized Access Detection in Underlay Cognitive Satellite Networks. IEEE Networking Letters, 3(4):181-185, December 2021. DOI: 10.1109/LNET.2021.3110662

L. Pallotta, A. Farina, S. T. Smith, and G. Giunta. Phase-Only Space-Time Adaptive Processing. IEEE Access, 9:147250-147263, October 2021. DOI: 10.1109/ACCESS.2021.3122837

L. Pallotta, G. Giunta, and C. Clemente. SAR Image Registration in the Presence of Rotation and Translation: A Constrained Least Squares Approach. IEEE Geoscience and Remote Sensing Letters, 18(9):1595-1599, September 2021. DOI: 10.1109/LGRS.2020.3005198

F. Benedetto, G. Giunta, and L. Pallotta. Cognitive Satellite Communications Spectrum Sensing based on Higher Order Moments. IEEE Communications Letters, 25(2):574-578, February 2021. DOI: 10.1109/LCOMM.2020.3029091

L. Pallotta, G. Giunta, and A. Farina. DOA Refinement through Complex Parabolic Interpolation of a Sparse Recovered Signal. IEEE Signal Processing Letters, 28:274-278, 2021. DOI: 10.1109/LSP.2021.3051838

S. Han, L. Pallotta, X. Huang, D. Orlando, and G. Giunta. A Sparse Learning Approach to the Design of Radar Tunable Architectures with Enhanced Selectivity Properties. IEEE Trans. on Aerospace and Electronic Systems, 56(5):3840-3853, October 2020. DOI: 10.1109/TAES.2020.2981287

B. Shi, L. Pallotta, G. Giunta, C. Hao, and D. Orlando. Parameter Estimation of Fluctuating Two-Ray Model for Next Generation Mobile Communications. IEEE Trans. on Vehicular Technology, 69(8):8684-8697, August 2020. DOI: 10.1109/TVT.2020.2999549

L. Pallotta, G. Giunta, and C. Clemente. Sub-Pixel SAR Image Registration through Parabolic Interpolation of the 2D Cross-Correlation. IEEE Trans. on Geoscience and Remote Sensing, 58(6):4132-4144, June 2020. DOI: 10.1109/TGRS.2019.2961245

A. Aubry, V. Carotenuto, A. De Maio, and L. Pallotta. Localization in 2D PBR with Multiple Transmitters of Opportunity: A Constrained Least Squares Approach. IEEE Trans. on Signal Processing, 68(1):634-646, December 2020. DOI: 10.1109/TSP.2020.2964235

A. Aubry, V. Carotenuto, A. De Maio, and L. Pallotta. Joint Exploitation of TDOA and PCL Techniques for 2D Target Localization. IEEE Trans. on Aerospace and Electronic Systems, 56(1):597-609, February 2020. DOI: 10.1109/TAES.2019.2917990

A. Aubry, V. Carotenuto, A. De Maio, and L. Pallotta. Assessing Reciprocity in Polarimetric SAR Data. IEEE Geoscience and Remote Sensing Letters, 17(1):87-91, January 2020. DOI: 10.1109/LGRS.2019.2915119

S. Han, L. Pallotta, V. Carotenuto, A. De Maio, and X. Huang. An Approximate Regularized ML Approach to Censor Outliers in Gaussian Radar Data. IEEE Access, 7(1):66263-66274, 2019. DOI: 10.1109/ACCESS.2019.2917950

P. Addabbo, F. Biondi, C. Clemente, D. Orlando, and L. Pallotta. Classification of Covariance Matrix Eigenvalues in Polarimetric SAR for Environmental Monitoring Applications. IEEE Aerospace and Electronic Systems Magazine, 34(6):28-43, June 2019. DOI: 10.1109/MAES.2019.2905924

A. De Maio, L. Pallotta, J. Li, and P. Stoica. Loading Factor Estimation under Affine Constraints on the Covariance Eigenvalues with Application to Radar Target Detection. IEEE Trans. on Aerospace and Electronic Systems, 55(3):1269-1283, June 2019. DOI: 10.1109/TAES.2018.2867699

L. Pallotta and D. Orlando. Polarimetric Covariance Eigenvalues Classification in SAR Images. IEEE Geoscience and Remote Sensing Letters, 16(5):746-750, May 2019. DOI: 10.1109/LGRS.2018.2881485

S. Han, A. De Maio, V. Carotenuto, L. Pallotta, and X. Huang. Censoring Outliers in Radar Data: An Approximate ML Approach and its Analysis. IEEE Trans. on Aerospace and Electronic Systems, 55(2):534-546, April 2019. DOI: 10.1109/TAES.2018.2852418

P. Addabbo, A. Aubry, A. De Maio, L. Pallotta, and S. L. Ullo. HRR profile estimation using SLIM. IET Radar, Sonar & Navigation, 13(4):512-521, 2019. DOI: https://doi.org/10.1049/iet-rsn.2018.5102

A. Aubry, V. Carotenuto, A. De Maio, and L. Pallotta. High Range Resolution Profile Estimation via a Cognitive Stepped Frequency Technique. IEEE Trans. on Aerospace and Electronic Systems, 55(1):444-458, February 2019. DOI: 10.1109/TAES.2018.2880024

L. Pallotta, A. De Maio, and D. Orlando. A Robust Framework for Covariance Classification in Heterogeneous Polarimetric SAR Images and its Application to L-Band Data. IEEE Trans. on Geoscience and Remote Sensing, 57(1):104-119, January 2019. DOI: 10.1109/TGRS.2018.2852559

S. Tahraoui, C. Clemente, L. Pallotta, M. Ouarzeddine, and J. J. Soraghan. Covariance Symmetries Detection in PolInSAR Data. IEEE Trans. on Geoscience and Remote Sensing, 56(12):6927-6939, December 2018. DOI: 10.1109/TGRS.2018.2845881

V. Carotenuto, A. De Maio, D. Orlando, and L. Pallotta. Adaptive Radar Detection Using Two Sets of Training Data. IEEE Trans. on Signal Processing, 66(7):1791-1801, April 2018. DOI: 10.1109/TSP.2017.2778684

A. Aubry, A. De Maio, and L. Pallotta. A Geometric Approach to Covariance Matrix Estimation and its Applications to Radar Problems. IEEE Trans. on Signal Processing, 66(4):907-922, February 2018. DOI: 10.1109/TSP.2017.2757913

G. Cui, N. Li, L. Pallotta, G. Foglia, and L. Kong. Geometric Barycenters for Covariance Estimation in Compound-Gaussian Clutter. IET Radar, Sonar & Navigation, 11(3):404-409, March 2017. DOI: https://doi.org/10.1049/iet-rsn.2016.0092

C. Clemente, L. Pallotta, D. Gaglione, A. De Maio, and J. Soraghan. Automatic Target Recognition of Military Vehicles with Krawtchouk Moments. IEEE Trans. on Aerospace and Electronic Systems, 53(1):493-500, February 2017. DOI: 10.1109/TAES.2017.2649160

A. R. Persico, C. Clemente, D. Gaglione, C. Ilioudis, J. Cao, L. Pallotta, A. De Maio, I. Proudler, and J. Soraghan. On Model, Algorithms, and Experiment for Micro-Doppler-Based Recognition of Ballistic Targets. IEEE Trans. on Aerospace and Electronic Systems, 53(3):1088-1108, June 2017. DOI: 10.1109/TAES.2017.266525

A. De Maio, D. Orlando, L. Pallotta, and C. Clemente. A Multifamily GLRT for Oil Spill Detection. IEEE Trans. on Geoscience and Remote Sensing, 55(1):63-79, January 2017. DOI: 10.1109/TGRS.2016.2594867

L. Pallotta, C. Clemente, A. DeMaio, and J. J. Soraghan. Detecting Covariance Symmetries in Polarimetric SAR Images. IEEE Trans. on Geoscience and Remote Sensing, 55(1):80-95, January 2017. DOI: 10.1109/TGRS.2016.2595626

D. Ciuonzo, D. Orlando, and L. Pallotta. On the Maximal Invariant Statistic for Adaptive Radar Detection in Partially-Homogeneous Disturbance with Persymmetric Covariance. IEEE Signal Processing Letters, 23(12):1830-1834, December 2016. DOI: 10.1109/LSP.2016.2618619

A. Aubry, V. Carotenuto, A. De Maio, A. Farina, and L. Pallotta. Optimization Theory-Based Radar Waveform Design for Spectrally Dense Environments. IEEE Aerospace and Electronic Systems Magazine, 31(12):14-25, 2016. DOI: 10.1109/MAES.2016.150216

C. Clemente, L. Pallotta, A. De Maio, J. J. Soraghan, and A. Farina. A Novel Algorithm for Radar Classification based on Doppler Characteristics Exploiting Orthogonal Pseudo-Zernike Polynomials. IEEE Trans. on Aerospace and Electronic Systems, 51(1):417-430, January 2015. DOI: 10.1109/TAES.2014.130762

C. Clemente, L. Pallotta, I. Proudler, A. DeMaio, J. J. Soraghan, and A. Farina. Pseudo-Zernike Based Multi-Pass Automatic Target Recognition From Multi-Channel Synthetic Aperture Radar. IET Radar, Sonar & Navigation, 9(4):457-466, 2015. DOI: https://doi.org/10.1049/iet-rsn.2014.0296

G. Cui, A. De Maio, V. Carotenuto, and L. Pallotta. Performance Prediction of the Incoherent Detector for Weibull Fluctuating Target. IEEE Trans. on Aerospace and Electronic Systems, 50(3):2176-2184, July 2014. DOI: 10.1109/TAES.2014.130040

A. Aubry, A. De Maio, L. Pallotta, and A. Farina. Median Matrices and their Application to Radar Training Data Selection. IET Radar, Sonar & Navigation, 8(4):265-274, April 2014. DOI: https://doi.org/10.1049/iet-rsn.2013.0043

A. Aubry, A. De Maio, L. Pallotta, and A. Farina. Radar Detection of Distributed Targets in Homogeneous Interference whose Inverse Covariance Structure is Defined Via Unitary Invariant Functions. IEEE Trans. on Signal Processing, 61(20):4949-4961, October 2013. DOI: 10.1109/TSP.2013.2273444

A. Aubry, A. De Maio, L. Pallotta, and A. Farina. Covariance Matrix Estimation via Geometric Barycenters and its Application to Radar Training Data Selection. IET Radar, Sonar & Navigation, 7(6):600-614, September 2013. DOI: https://doi.org/10.1049/iet-rsn.2012.0190

G. Cui, A. De Maio, L. Pallotta, and A. Farina. Theoretical Analysis of the Sequential Lobing Technique for Correlated Targets. IET Radar, Sonar & Navigation, 7(4):443-450, July 2013. DOI: https://doi.org/10.1049/iet-rsn.2012.0254

A. Aubry, A. De Maio, L. Pallotta, and A. Farina. Maximum Likelihood Estimation of a Structured Covariance Matrix with a Condition Number Constraint. IEEE Trans. on Signal Processing, 60(6):3004-3021, June 2012. DOI: 10.1109/TSP.2012.2190408

1. A. Aubry, P. Babu, A. De Maio, and L. Pallotta. Off-Grid Space-Frequency Environment Sensing for Next Generation Cognitive Radars. 2025 IEEE Radar Conference (RadarConf25), Krakow, Poland, 2025, pp. 414-419, DOI: 10.1109/RadarConf2559087.2025.11204963

2. V. Carotenuto, A. Aubry, A. De Maio, and L. Pallotta. CFAR Analysis of Adaptive Detection Schemes for Multistatic/Polarimetric Radar Systems. 2025 IEEE 12th International Workshop on Metrology for AeroSpace (MetroAeroSpace), Naples, Italy, 2025, pp. 105-109, DOI: 10.1109/MetroAeroSpace64938.2025.11114568

3. F. Mattei, L. Pallotta, D. Accardo, and A. De Maio, Statistical Analyses of POFACETS Simulated RCS data from an F-35 Aircraft Model. American Institute of Aeronautics and Astronautics (AIAA) SciTech Forum, Orlando, Florida, 6-10 January 2025. DOI: 10.2514/6.2025-0432

4. A. Aubry, A. De Maio, and L. Pallotta. Rule-Based Scheduling for MPARs performing Sensing and Communications. IEEE International Workshop on Technologies for Defense and Security (TechDefense), Naples, Italy, November 11-13, 2024. DOI: 10.1109/TechDefense63521.2024.10863485

5. F. Mattei, L. Pallotta, D. Accardo, and A. De Maio, RCS of a F-35 Stealth Aircraft: Statistical Analyses of a POFACETS Model. IEEE International Workshop on Technologies for Defense and Security (TechDefense), Naples, Italy, November 11-13, 2024. DOI: 10.1109/TechDefense63521.2024.10863722

6. A. Aubry, A. De Maio, and L. Pallotta. Power-Aperture Product Resource Allocation for Radar ISAC. IEEE International Workshop on Technologies for Defense and Security (TechDefense), Rome, Italy, November 20-22, 2023. DOI: 10.1109/TechDefense59795.2023.10380837

7. M. Neri, L. Pallotta, and M. Carli. Low-Complexity Environmental Sound Classification using Cadence Frequency Diagram and Chebychev Moments. 13th Int'l Symposium on Image and Signal Processing and Analysis (ISPA 2023), Rome, Italy, 18-19 September 2023. DOI: 10.1109/ISPA58351.2023.10279538

8. G. Giunta and L. Pallotta. Improving Delay Estimation in Underwater Acoustic Applications by the Additional Use of Cross-Cross-Correlation. In IEEE Vehicular Technology Conference (VTC)-Spring, Florence, Italy, June 20-23 2023. DOI: 10.1109/VTC2023-Spring57618.2023.10199279

9. G. Giunta, D. Orlando, and L. Pallotta. Sensor Failure Detection for TDOA-Based Localization Systems. In IEEE 10th International Workshop on Metrology for AeroSpace (MetroAeroSpace), Milan, Italy, June 19-21 2023. DOI: 10.1109/MetroAeroSpace57412.2023.10189954

10. L. Pallotta, G. Giunta, and D. Orlando. User Localization for Rescue Operations Exploiting the Cross-Cross-Correlations of Signals from Multiple Sensors. In 21st Mediterranean Communication and Computer Networking Conference (MedComNet), Island of Ponza, Italy, pages 70-73, June 13-15 2023. DOI: 10.1109/MedComNet58619.2023.10168875

11. L. Pallotta, C. Clemente, T. Borreca, G. Giunta, and J. J. Soraghan. A Joint Coregistration of Rotated Multitemporal SAR Images based on the Cross-Cross-Correlation. In IET International Conference on Radar Systems, Edinburgh, UK, 22-24 October 2022. DOI: 10.1049/icp.2022.2287

12. L. Pallotta, M. Neri, M. Buongiorno, A. Neri, and G. Giunta. A Machine Learning-based Approach for Audio Signals Classification using Chebychev Moments and Mel-Coefficients. In 7th International Conference on Frontiers of Signal Processing (ICFSP), Paris, France, 7-9 September 2022. DOI: 10.1109/ICFSP55781.2022.9924832

13. M. V. Falcone, G. Giunta and L. Pallotta. An Effective Convolution Neural Network for Automatic Recognition of Analog and Digital Signal Modulations for Cognitive SDR Applications. In International Workshop on Signal Design and Its Applications in Communications (IWSDA), 01-05 August 2022. DOI: 10.1109/IWSDA50346.2022.9870449

14. L. Pallotta, C. Clemente, G. Giunta, and J. J. Soraghan. Coregistration Method for Rotated/Shifted FOPEN SAR Images. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 2454-2457, Kuala Lumpur, Malaysia, 17-22 July 2022. DOI: 10.1109/IGARSS46834.2022.9883563

15. S. Baldoni, F. Battisti, M. Brizzi, G. Emmanuele, A. Neri, L. Pallotta, A. Ruggieri, and A. Vennarini. On the Design of High Accuracy Rail Digital Maps based on Sensor Fusion. In ION GNSS+ 2022, pp. 1420-1431, Long Beach, California, 25-27 January 2022. DOI: https://doi.org/10.33012/2022.18188

16. A. Neri, F. Battisti, S. Baldoni, M. Brizzi, L. Pallotta, A. Ruggeri, and G. Lauro. High Accuracy High Integrity Train Positioning based on GNSS and Image Processing Integration. In ION GNSS+ 2021, S. Louis, MO, 20-24 September 2021. DOI: https://doi.org/10.33012/2021.17945

17. L. Pallotta, M. Cauli, C. Clemente, F. Fioranelli, G. Giunta, and A. Farina. Classification of micro-Doppler Radar Hand-Gesture Signatures by Means of Chebychev Moments. In IEEE International Workshop on Metrology for Aerospace (special session: metrology for radar systems), Naples, Italy (Virtual), 23-25 June 2021. DOI: 10.1109/MetroAeroSpace51421.2021.9511751

18. C. Clemente, L. Pallotta, C. Ilioudis, F. Fioranelli, G. Giunta, and A. Farina. Chebychev Moments based Drone Classification, Recognition and Fingerprinting. In International Radar Symposium (IRS), Berlin, Germany (Virtual), 21-22 June 2021. DOI: 10.23919/IRS51887.2021.9466211

19. C. Losquadro, L. Pallotta, and G. Giunta. COVID-19 Lung CT Images Recognition: A Feature-Based Approach. In Ciarp Porto (25th Iberoamerican Congress on Pattern Recognition), Porto, Portugal (Virtual), 10-13 May 2021. DOI: https://doi.org/10.1007/978-3-030-93420-0_44

20. F. Benedetto, G. Giunta, C. Losquadro, and L. Pallotta. Covid-19 Signal Analysis: Effect of Lockdown and Unlockdowns on Normalized Entropy in Italy. In IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Seoul, S. Korea (Virtual), 16-19 December 2020. DOI: 10.1109/BIBM49941.2020.9313396

21. C. Losquadro, G. Giunta, L. Pallotta, M. Gabelloni, and E. Neri. MR Image Analysis to Differentiate Salivary Gland Tumors: a Preliminary Study. In IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Seoul, S. Korea (Virtual), 16-19 December 2020. DOI: 10.1109/BIBM49941.2020.9313368

22. L. Pallotta, C. Clemente, A. Raddi, and G. Giunta. A Feature-Based Approach for Loaded/Unloaded Drones Classification Exploiting micro-Doppler Signatures. In IEEE Radar Conference, Florence, Italy (Virtual), 21-25 September 2020. DOI: 10.1109/RadarConf2043947.2020.9266458

23. E. Faro, G. Giunta, S. Han, D. Orlando, and L. Pallotta. Subspace-Based Target Detection in the Presence of Multiple Alternative Hypotheses. In IEEE Radar Conference, Florence, Italy (Virtual), 21-25 September 2020. DOI: 10.1109/RadarConf2043947.2020.9266506

24. S. Han, L. Pallotta, G. Giunta, W. Ma, and D. Orlando. A Sparse Learning Based Detector with Enhanced Mismatched Signals Rejection Capabilities. In IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), Hangzhou, China (Virtual), 8-11 June 2020. DOI: 10.1109/SAM48682.2020.9104374

25. S. Han, A. De Maio, L. Pallotta, V. Carotenuto, S. Iommelli, and X. Huang. Approximate Regularized Maximum-Likelihood Approach for Censoring Outliers. In IET International Radar Conference, Nanjing, China, 17-19 October 2018. DOI: 10.1049/joe.2019.0717

26. L. Pallotta, V. Carotenuto, A. Aubry, A. De Maio, and S. Iommelli. A Cognitive Stepped Frequency Strategy for HRRP Estimation. In Sensor Signal Processing for Defence (SSPD) Conference, London, UK, 6-7 December 2017. DOI: 10.1109/SSPD.2017.8233224

27. S. Han, X. Huang, A. De Maio, L. Pallotta, and S. Iommelli. A Two-Stage Detector for Operation in Outlier-Dense Scenarios. In Sensor Signal Processing for Defence (SSPD) Conference, London, UK, 6-7 December 2017. DOI: 10.1109/SSPD.2017.8233225

28. A. Aubry, A. De Maio, and L. Pallotta. A Geometric Approach for Structured Radar Covariance Estimation. In IEEE International Radar Conference, Seattle, USA, 8-12 May 2017. DOI: 10.1109/RADAR.2017.7944306

29. L. Pallotta, C. Clemente, A. De Maio, and D. Orlando. A Multi-Family GLRT for Detection in Polarimetric SAR Images. In Sensor Signal Processing for Defence (SSPD) Conference, Edinburgh, Scotland, 22-23 September 2016. DOI: 10.1109/SSPD.2016.7590584

30. L. Pallotta, A. Aubry, V. Carotenuto, A. De Maio, and A. Farina. A Cognitive Approach for Radar Receiver Adaptation. In International Forum on Research and Technologies for Society and Industry (RTSI), Bologna, Italy, 7-9 September 2016. DOI: 10.1109/RTSI.2016.7740592

31. A. R. Persico, C. Clemente, L. Pallotta, A. De Maio, and J. Soraghan. Micro-Doppler Classification of Ballistic Threats Using Krawtchouk Moments. In IEEE International Radar Conference, Philadelphia, USA, 2-6 May 2016. DOI: 10.1109/RADAR.2016.7485086

32. C. Clemente, L. Pallotta, I. Proudler, A. De Maio, J. J. Soraghan, and A. Farina. Multi-Sensor Full-Polarimetric SAR Automatic Target Recognition Using Pseudo-Zernike Moments. In International Radar Conference, Lille, France, 13-17 October 2014. DOI: 10.1109/RADAR.2014.7060271

33. D. Gaglione, C. Clemente, L. Pallotta, I. Proudler, A. De Maio, and J. J. Soraghan. Krogager Decomposition and Pseudo-Zernike Moments for Polarimetric Distributed ATR. In Sensor Signal Processing for Defence (SSPD) Conference, Edinburgh, Scotland, UK, 8-9 September 2014. DOI: 10.1109/SSPD.2014.6943309

34. L. Pallotta, C. Clemente, A. De Maio, J. Soraghan, and A. Farina. Pseudo-Zernike Moments Based Radar Micro-Doppler Classification. In IEEE International Radar Conference, Cincinnati, USA, 19-23 May 2014. DOI: 10.1109/RADAR.2014.6875709

35. G. Cui, A. De Maio, V. Carotenuto, L. Pallotta, and S. Iommelli. Incoherent Integration Performance Prediction for Weibull Fluctuating Target. In IEEE International Radar Conference, Cincinnati, USA, 19-23 May 2014. DOI: 10.1109/RADAR.2014.6875598

36. A. Aubry, A. De Maio, L. Pallotta, A. Farina, and C. Fantacci. Median Matrices and Geometric Barycenters for Training Data Selection. In International Radar Symposium (IRS), Dresden, Germany, 19-21 June 2013. Print ISBN: 978-1-4673-4821-8

37. L. Pallotta, A. De Maio, and A. Aubry. Extended Target Detection in Interference whose Covariance Matrix is Defined via Uncertainty Convex Constraints. In IEEE International Radar Conference, Ottawa, Ontario, Canada, 29 April - 3 May 2013. DOI: 10.1109/RADAR.2013.6586013

38. A. Aubry, A. De Maio, L. Pallotta, and A. Farina. Radar Covariance Matrix Estimation Through Geometric Barycenters. In European Radar Conference (EuRAD), Amsterdam, Holland, 31 October - 2 November 2012. Print ISBN: 978-1-4673-2471-7

39. A. Aubry, V. Carotenuto, A. DeMaio, L. Pallotta, and A. Farina. Detection Capabilities Evaluation of a Constrained Structured Covariance Matrix Estimator for Radar Applications. In Tyrrhenian Workshop on Advances in Radar and Remote Sensing, Naples, Italy, 12-14 September 2012. DOI: 10.1109/TyWRRS.2012.6381130

40. L. Pallotta, A. Aubry, A. De Maio, and A. Farina. Geometric Barycenters and their Application to Radar Training Data Selection/Target Detection. In International Radar Symposium (IRS), Warsav, Poland, 23-25 May 2012. DOI: 10.1109/IRS.2012.6233294

41. L. Pallotta, A. Aubry, A. De Maio, and A. Farina. Estimation of a Structured Covariance Matrix with a Condition Number Constraint for Radar Applications. In IEEE International Radar Conference, Atlanta, Georgia (US), 7-11 May 2012. DOI: 10.1109/RADAR.2012.6212243

42. A. Aubry, A. De Maio, A. Farina, and L. Pallotta. A Maximum Likelihood Framework for Estimating a Structured Covariance Matrix with a Condition Number Upper Bound. In EUROGEN Conference, Capua, Italy, 14-16 September 2011. ISBN: 9788890632310

43. A. Borzì, M. di Bisceglie, C. Galdi, L. Pallotta, and S. L. Ullo. Phase Retrieval in SAR Interferograms Using Diffusion and Inpainting. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Honolulu, Hawaii, USA, July 2010. DOI: 10.1109/IGARSS.2010.5652201

L. Pallotta, C. Clemente, A. De Maio, and J. J. Soraghan. Polarimetric Radar Signal Processing, chapter Classification of Covariance Symmetries in Full-Polarimetric SAR Images. Scitech Publishing, Radar, Sonar & Navigation, 2022. ISBN: 978-183953402-7

D. Gaglione, C. Clemente, L. Pallotta, C. Ilioudis, A. De Maio, and J. J. Soraghan. Polarimetric Radar Signal Processing, chapter Polarimetric Information to Enhance SAR ATR Capabilities. Scitech Publishing, Radar, Sonar & Navigation, 2022. ISBN: 978-183953402-7

A. Aubry, V. Carotenuto, A. De Maio, A. Farina, and L. Pallotta. Radar Evolution: The Italian Academic Contribution, chapter Spectrum Sharing between Radar and Communication Systems: A Multifaceted Challenge. CNIT Technical Report-02, February 2019. DOI: 10.57620/CNIT-Report_02

A. De Maio, A. Farina, A. Aubry, V. Carotenuto, and L. Pallotta. The Impact of Cognition on Radar Technology, chapter Cognitive Radar and its Application to CFAR Detection and Receiver Adaptation. Scitech Publishing, Radar, Sonar & Navigation, 2017. ISBN: 978-178561580-1

A. De Maio, A. Farina, A. Aubry, V. Carotenuto, and L. Pallotta. The Impact of Cognition on Radar Technology, chapter Cognitive Radar Waveform Design for Spectral Compatibility. Scitech Publishing, Radar, Sonar & Navigation, 2017. ISBN: 978-178561580-1

A. De Maio, A. Farina, A. Aubry, V. Carotenuto, and L. Pallotta. The Impact of Cognition on Radar Technology, chapter Cognitive Optimization of the Transmitter-Receiver Pair. Scitech Publishing, Radar, Sonar & Navigation, 2017. ISBN: 978-178561580-1

A. De Maio, A. Farina, A. Aubry, V. Carotenuto, and L. Pallotta. The Impact of Cognition on Radar Technology, chapter Cognition in Radar Target Tracking. Scitech Publishing, Radar, Sonar & Navigation, 2017. ISBN: 978-178561580-1 

A. Aubry, V. Carotenuto, A. De Maio, A. Farina, G. Fornaro, L. Pallotta, and A. Pauciullo. The Impact of Cognition on Radar Technology, chapter An Overview on the Exploitation of Cognition in MIMO Radar, Electronic Warfare, and Synthetic Aperture Radar. Scitech Publishing, Radar, Sonar & Navigation, 2017. ISBN: 978-178561580-1