MIMO Radar Target Detection Using Block Circulant Probing
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Solution Overview
Problem
Current adaptive beamforming techniques face high computational complexity, leading to convergence issues and inefficiencies in target detection, particularly in MIMO radar systems, due to iterative minimization of objective functions and constraints such as finite alphabet and zero norm constraints, which hinder real-time processing and effective target discrimination.
Innovation Solution
A method employing a block circulant probing signal matrix and Quadrature Phase Shift Keying (QPSK) channels in a virtual MIMO configuration, utilizing a deterministic algorithm with no iterations, which exploits the Fourier transform properties of Uniform Linear Arrays (ULAs) to achieve low cross-correlation beam patterns and efficient target detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If adaptive beamforming techniques are used to improve target discrimination, then measurement precision is improved, but computational complexity increases
Solution Approach 1:
The patent segments the probing signal into multiple orthogonal sequences transmitted through different antennas in the MIMO configuration. This segmentation allows the system to achieve improved target discrimination through spatial separation while maintaining computational tractability by processing each segment independently rather than solving a complex joint optimization problem.
Solution Approach 2:
The patent changes the signal parameters by using constant modulus sequences with specific auto-correlation and cross-correlation properties. By carefully selecting these signal parameters, the system achieves good target discrimination capability while avoiding the need for complex iterative beamforming optimization, thus reducing computational complexity.
2Manufacturing precision
If iterative optimization algorithms are used to minimize objective functions, then beam pattern performance is improved, but convergence time increases
Solution Approach 1:
The patent performs preliminary design of the probing signals to inherently satisfy the desired covariance structure and beam pattern requirements. By pre-designing orthogonal constant modulus sequences with appropriate correlation properties, the system achieves good beam pattern performance without requiring iterative optimization during operation, thus eliminating convergence time delays.
3Measurement precision
If MIMO configuration with multiple transceivers is used to maximize scene information, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent makes each transmit antenna universal by enabling it to transmit multiple orthogonal probing sequences through code division multiplexing. This multi-functionality allows the MIMO system to maximize scene information acquisition while reducing the number of required transceivers, as each antenna serves multiple functional roles through different code sequences.
4Measurement precision
If orthogonal codes are used for multiple transceivers to process different signals, then measurement precision is improved, but computational complexity increases
Solution Approach 1:
The patent changes the signal parameters by using constant modulus orthogonal codes with specific auto-correlation and cross-correlation properties. This parameter selection simplifies the computational processing required to separate and process signals from multiple transceivers, as the orthogonal structure allows for straightforward correlation-based separation without complex matrix inversions or iterative algorithms.
Data Source
AI summary
A method of sensing a target in a target detection system having processing circuitry and a multiplexer coupled to the processing circuitry and to a plurality NT of transmit antennas forming a sparse transmit uniform linear array (ULA), the multiplexer being configured to generate multiplexed and phase modulated transmit signals (T1 . . . TNT) based on signals from a local oscillator. The processing circuitry receives signals via a plurality NR of receive antennas forming a dense receive ULA. The method includes transmitting the transmit signals via the transmit antennas as a general radiation pattern corresponding to a block circulant probing signal matrix, and receiving via the receive antennas receive signals resulting from backscattering of the transmit signals transmitted towards K targets. The method further includes processing the received reflection signals to determine the presence, range and/or angular position of a target within a field of view of the transmit antennas.


