Current Research

Automotive Radar

Revolutionizing Automotive Safety: Integrated Automotive Radar Applications with System-on-Chip. Our laboratory is dedicated to advancing the field of automotive safety by leveraging the power of SoCs to enhance radar systems and enable a safer and more efficient driving experience.

Automotive radar systems play a critical role in modern vehicles, providing crucial information about the surrounding environment, detecting objects, and enabling advanced driver assistance systems (ADAS) and autonomous driving functionalities. By integrating these radar systems with SoC, we aim to achieve unprecedented levels of performance, accuracy, and reliability, driving the future of automotive safety.

Through our research and development efforts, we focus on a wide range of aspects related to automotive radar applications integrated with SoCs. These include:

1. SoC Architecture and Design: We explore novel architectures and design methodologies that optimize the integration of radar systems with SoC platforms, ensuring seamless communication, efficient processing, and low power consumption.

2. Signal Processing and Algorithms: Our team develops advanced signal processing techniques and algorithms tailored specifically for automotive radar systems. By harnessing the power of the SoC, we enhance the accuracy and reliability of radar data processing, enabling real-time object detection, tracking, and collision avoidance.

3. Sensor Fusion: We investigate sensor fusion techniques that integrate radar data with other sensor modalities, such as cameras and lidar. By fusing data from multiple sensors on a unified SoC platform, we enhance the perception capabilities of autonomous vehicles, enabling robust object recognition and environment understanding.

4. Radar System Integration: Our researchers work on integrating radar systems into SoC platforms, enabling a compact and cost-effective solution for automotive applications. We focus on optimizing the size, power consumption, and overall system performance to meet the stringent requirements of the automotive industry.

5. Testing and Validation: We develop comprehensive testing methodologies and validation frameworks to ensure the reliability and safety of integrated automotive radar systems. Through rigorous testing and simulation, we evaluate the performance of SoC-based radar systems under various real-world scenarios.

By pushing the boundaries of SoC technology and its integration with automotive radar applications, we aim to revolutionize automotive safety, making roads safer for drivers, passengers, and pedestrians alike. Our research findings, publications, and collaborations serve as valuable resources for the automotive industry, academia, and other research organizations.

5G Application Transceiver design

• In order to provide ultra-high-speed mobile information transmission, the millimeter wave-based broadband mobile communication RF configuration consists of a power amplifier (PA), a low noise amplifier (LNA), a Tx/Rx switch, and a filter, as shown in the figure. The configured RF front-end module (FEM), input, and output terminals of the RF front end are connected to a millimeter-wave array antenna and a millimeter-wave RF transceiver to configure a millimeter-wave band RF system. 

SoC Design

• A system-on-chip (SoC) is the integration of functions necessary to implement an electronic system onto a single substrate and contains at least one processor. The only significant distinction between an SoC and a microcontroller is one of scale. The integration of several blocks into a single substrate offers numerous benefits, including decreased cost and power usage. However, integration may sometimes result in sacrifices. Many forms of memory need somewhat modified techniques to attain maximum efficiency since the design and implementation processes used to generate digital circuits are not appropriate for the manufacture of analog components. However, the benefits of integration frequently outweigh these trade-offs.