MIMO Radar Target Detection via Interference Correlation Matrix
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Solution Overview
Problem
Conventional MIMO radar detection techniques struggle with effectively detecting targets in clutter due to clutter cross talk between channels and the suboptimal performance of matched filters in the presence of noise and clutter.
Innovation Solution
A computer-implemented method for detecting targets amidst clutter using a MIMO radar system that processes a sequence of transmitted signals, determines baseband signals, calculates convolution matrices, estimates clutter amplitudes, forms a target detector that maximizes the signal-to-interference ratio, and rejects clutter cross talk.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional matched filters are used for MIMO radar detection, then the detection process is simple, but the detection accuracy deteriorates in the presence of clutter and noise
Solution Approach 1:
The patent changes the detection parameter from conventional matched filtering to an optimum detector that uses the interference correlation matrix. By modifying the detection parameter to account for clutter and noise characteristics, the system achieves improved detection accuracy while maintaining operational feasibility through automated matrix calculations.
Solution Approach 2:
The interference correlation matrix serves as an intermediary that mediates between the received signals and the detection decision. This matrix characterizes the clutter and noise environment, allowing the optimum detector to optimally combine signals from multiple receive antennas while suppressing interference, thus improving detection accuracy.
2Device complexity
If conventional MIMO radar processing is used, then the system structure is simple, but clutter cross talk between channels cannot be rejected
Solution Approach 1:
The interference correlation matrix acts as an intermediary that captures the statistical characteristics of clutter across all receive antennas. By using this matrix in the optimum detector, the system can identify and reject clutter cross talk between channels while maintaining the relatively simple MIMO radar hardware structure.
Solution Approach 2:
The optimum detector uses feedback from the interference correlation matrix to adaptively adjust the detection process. The matrix provides information about clutter characteristics that is fed back into the detection algorithm, enabling the system to dynamically reject clutter cross talk based on the actual environmental conditions.
3Measurement precision
If the signal-to-interference ratio is maximized, then target detectability is improved, but the processing complexity increases
Solution Approach 1:
The optimum detector performs self-service by automatically calculating the detection statistic using the interference correlation matrix. The system uses the received signals to estimate the correlation matrix and then applies this matrix to optimally combine the signals, maximizing the signal-to-interference ratio without requiring external intervention or complex manual processing.
Solution Approach 2:
The patent changes the processing approach from conventional matched filtering to optimum detection using the interference correlation matrix. This parameter change enables the system to maximize the signal-to-interference ratio by adaptively weighting the signals from different receive antennas based on the clutter and noise characteristics captured in the correlation matrix.
Data Source
AI summary
A computer-implemented method for detecting a target amidst clutter by a radar system able to transmit individual electromagnetic signals, wherein a sequence of the transmit signals are sent from first to last on separate transmit antennae, receive the signals reflected off the target and the clutter, and process the received signals. The method includes determining a baseband signal for each of the transmit signals; calculating a signal convolution matrix for each of the transmit signals; estimating a clutter amplitude for each range cell; calculating a clutter correlation matrix for the clutter; determining a noise variance for the transmitted signals; calculating an interference correlation matrix for the transmit signals; and forming a target detector for the radar system. The target detector for the radar system further includes sequentially processing the reflection signals, rejecting cross talk from the clutter correlation matrix, and increasing a signal-to-interference ratio, thereby optimizing the detectability of the target.