Prior Solutions

Documentation and Analysis of Prior Solutions

INTRODUCTION

By searching on the internet, we were able to find several patents for current quantum radars. Quantum radars are a new technology, so there are not a lot of patents currently available.

PATENT 1

Patent Name: Radar systems and methods using entangled quantum particles

Patent Number: US7375802B2

Date of Patent: 2005-08-04

Patent Abstract: An entangled quantum particle generator generates a signal including a plurality of entangled particles. The wavelength of the signal is the sum of the wavelengths of the entangled particles. A signal processor determines a characteristic of the target based on information derived from at least some of the entangled particles in the return signal. The frequency of the signal is selected to propagate the signal through a medium and the frequencies of the entangled particles are selected to provide sufficient data in the return signal to resolve the characteristic of the target.

Pros and Cons: This radar can operate well at weaker signals, and it can detect stealth vehicles designed to evade classical radars. Yet, due to its large amount of error and the difficulty of implementing entanglement, this radar doesn't solve the problem as effectively as our current model.

PATENT 2

Patent Name: Method for generating compressed quantum illumination light source and quantum radar device using same

Patent Number: KR102369817B1

Date of Patent: 2021-08-18

Patent Abstract: In a method for generating compressed quantum illumination light source, the present invention provides a quantum laser device using such a compressed quantum illumination light source, wherein the method includes the steps of: generating a dual-mode compressed light source comprising a signal mode and an idler mode; obtaining an additional compression amount for the dual-mode compressed light source based on object information; determining a compression angle and an operation degree which satisfy the additional compression amount for each of the signal mode and the idler mode; and compressing the dual-mode compressed light source based on the compression angle and operation degree. Therefore, it is possible to improve detection efficiency of quantum illumination.

Pros and Cons: This method uses quantum illumination, which by combining long and short wavelengths, it can better detect smaller objects at a more precise measure. However, despite use of quantum properties and entanglement, it still needs the photon particle back in order to get

PATENT 3

Patent Name: Method for generating compressed quantum illumination light source and quantum radar device using same

Patent Number: US7969558B2

Date of Patent: 2007-07-13

Patent Abstract: A LiDAR-based 3-D point cloud measuring system and method. An example system includes a base, a housing, a plurality of photon transmitters and photon detectors contained within the housing, a rotary motor that rotates the housing about the base, and a communication component that allows transmission of signals generated by the photon detectors to external components. The rotary component includes a rotary power coupling configured to provide power from an external source to the rotary motor, the photon transmitters, and the photon detectors. In another embodiment, the photon transmitters and detectors of each pair are held in a fixed relationship with each other. In yet another embodiment, a single detector is “shared” among several lasers by focusing several detection regions onto a single detector, or by using a single, large detector.

Pros and Cons: This method utilizes lidar, which can be very effective in radar detection systems. However, this system requires the light signal back from the aircraft.

EXISTING COMPETITIVE PRODUCT 1

Classical Radar

This radar sends radio waves out in a broad array. When the waves interact with an object, they bounce back towards the radar. Combined with the doppler effect, radars can effectively pinpoint where objects are. Pressingly, classical errors are free of noise and error as they do not use quantum states and simply rely on waves. However, their simplicity lets them be frequently and easily evaded by modern stealth technology.

EXISTING COMPETITIVE PRODUCT 2

Classical LiDAR

Emits a laser towards the object and measures how long it takes to reflect back to the radar to measure its target’s speed and location. Classical lidar generally requires a high signal to be reliable but it's less sensitive than the other quantum types. This radar struggles when light levels are low and the target is not a high distance away. Classical Lidar will not be able to reliably detect stealth ships at the level at our design.

EXISTING COMPETITIVE PRODUCT 3

Bistatic LiDAR

This radar uses two radars to triangulate the location of the desired between them. Otherwise, it is a simple classical radar, using waves to send them at the object and requiring it back. As a result of needing the signal to come back, this solution is not as competitive as our current design.

CITATIONS

“KR102369817B1 - Method for Generating Compressed Quantum Illumination Light Source and Quantum Radar Device Using Same.” Google Patents, Google, 18 Aug. 2021, patents.google.com/patent/KR102369817B1/en

"US7375802B2 - Radar systems and methods using entangled quantum particles" Google Patents, Google, 4 Aug. 2005, https://patents.google.com/patent/US7375802B2/en

"US7969558B2 - Method for generating compressed quantum illumination light source and quantum radar device using same" Justia Patents, Justia, July 13. 2007, https://patents.justia.com/patent/20230054964

SUMMARY:

While all of these radars are competitive under classical needs, they are unable to detect stealth airplanes due to their need of a signal back. All of these radars involve sending a signal to the airplane that they want to get back. However, they won't, as stealth aircraft are designed to reflect signals away from the radars. On the other hand, our radar uses interferometry to detect aircraft based on the presence of the radar, but it involves no signals, hence being able to detect these stealth aircraft.

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