Radar Signal Processing for Angle Estimation Accuracy
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Solution Overview
Problem
Current radar signal analysis technologies focus on reducing the complexity of angle estimation algorithms rather than improving the pre-processing of input signals, limiting the resolution and accuracy of target angle parameter estimation.
Innovation Solution
A signal processing method that generates secondary channel coefficient matrices through special preprocessing, enhancing the radar parameter estimation algorithm by dividing channel coefficient matrices into frequency-domain and time-domain components, and applying space smoothing, frequency smoothing, and forward-backward averaging algorithms to improve the accuracy of target parameter calculations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional radar parameter estimation algorithms are used without special pre-processing, then the device complexity is lower, but the measurement precision of angle parameters is limited
Solution Approach 1:
The patent applies space smoothing, frequency smoothing, and forward-backward averaging as pre-processing operations on the input signal before it enters the parameter estimation algorithm. These preliminary actions modify the autocorrelation matrix to improve angle estimation precision without requiring changes to the core estimation algorithm structure.
Solution Approach 2:
The patent segments the signal processing into distinct stages: space smoothing operation, frequency smoothing operation, and forward-backward averaging operation. Each stage processes specific aspects of the signal independently, allowing the system to achieve high precision while maintaining manageable complexity through modular processing.
2Measurement precision
If signal pre-processing operations are added to improve angle estimation, then the measurement precision improves, but the loss of time increases due to additional processing steps
Solution Approach 1:
The patent applies periodic smoothing operations across frequency bins and spatial samples. The frequency smoothing and space smoothing operations process signals in regular intervals and patterns, which optimizes computational efficiency while maintaining high measurement precision for angle parameters.
3Reliability
If the autocorrelation matrix is modified through multiple smoothing operations, then the reliability of parameter estimation improves, but the device complexity increases
Solution Approach 1:
The patent performs preliminary smoothing and averaging operations on the autocorrelation matrix before parameter estimation. By pre-processing the matrix to reduce coherence effects and improve signal subspace quality, the subsequent estimation algorithm operates on more reliable data, enhancing overall reliability without fundamentally changing the estimation methodology.
Solution Approach 2:
The patent modifies parameters of the autocorrelation matrix through systematic smoothing operations. The space smoothing changes spatial distribution parameters, frequency smoothing changes spectral parameters, and forward-backward averaging changes temporal correlation parameters, collectively improving estimation reliability.
Data Source
AI summary
A signal processing method is provided. First, at least one transmitted signal is output to at least one target, and the target reflects at least one reflected signal to receiving antennas, which then generate receiving signals upon receipt of the reflected signal. Next, the transmitted signal and each receiving signal are processed to generate processing signals. The processing signals are arranged in a form of matrix, to generate a channel coefficient matrix having M×N channel coefficient matrix blocks. Next, the channel coefficient matrix is divided into Ndivide×Mdivide secondary channel coefficient matrices, which are then substituted into a snapshot vector matrix equation to generate a snapshot vector matrix for calculating an angle of the target. The signal processing method can establish an optimal secondary channel coefficient matrix arrangement by using a special signal preprocessing manner, to improve the resolution and accuracy of the estimated angle parameter of the target.