One-bit Radar Signal Harmonic False Target Elimination
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Solution Overview
Problem
One-bit quantization and sampling in array radar systems introduce high-order harmonic waves, leading to false targets and complex signal processing, which affects detection quality.
Innovation Solution
The method involves dechirping and frequency shifting of echo signals, followed by one-bit quantization and AD data acquisition. A Fourier transform is performed to obtain a frequency spectrum, and constant false alarm rate detection is used to differentiate between real and false targets. Spatial smoothing-based angle of arrival estimation is then applied to refine the target identification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If one-bit quantization and sampling are performed on echo data, then data processing bit width and sampling rate requirements are reduced, but high-order harmonic waves are introduced causing false targets
Solution Approach 1:
The patent extracts and removes the harmful harmonic components from the signal processing chain. By performing one-bit quantization after dechirping and applying specific signal processing techniques, the method isolates and eliminates the high-order harmonic waves that cause false targets, while preserving the useful signal information.
Solution Approach 2:
The patent applies preliminary dechirping processing before one-bit quantization to transform the signal into a form where harmonic components can be more effectively managed. This preliminary action prepares the signal in advance to reduce the generation of harmful harmonics during the quantization process.
2Measurement precision
If high sampling rate is used to avoid signal spectrum aliasing, then signal detection accuracy is improved, but data processing efficiency is reduced
Solution Approach 1:
The patent changes the sampling parameter from high sampling rate to one-bit quantization sampling. By transforming the sampling approach and adjusting the signal processing parameters accordingly, the method achieves acceptable detection accuracy while dramatically improving data processing efficiency and reducing hardware requirements.
3Device complexity
If one-bit quantization is applied to reduce hardware requirements, then system cost and complexity are reduced, but signal processing quality deteriorates due to harmonic distortion
Solution Approach 1:
The patent converts the harmful effect of one-bit quantization into a beneficial outcome. By carefully designing the signal processing workflow, the method uses the properties of one-bit quantization to simplify hardware while implementing compensation techniques that eliminate harmonic distortion, thereby maintaining signal processing quality despite the coarse quantization.
Data Source
AI summary
Disclosed in the present invention are a method for eliminating a one-bit signal harmonic false target and a related component. In the method, dechirping, a frequency shift, one-bit quantization, AD sampling, and a Fourier transform are performed on an echo signal to obtain a frequency spectrum, and then constant false alarm rate detection is performed on the frequency spectrum, to obtain a distance of a real target and a distance of a false target. For the distance of the false target, a difference comparison is performed on multiple snapshot-based angle of arrival information and single snapshot-based angle of arrival information, a distance corresponding to an angle with the smallest angle difference is obtained from the single snapshot-based angle of arrival information, and the distance is used as the distance of the real target, thereby eliminating the false target and then reducing costs of data acquisition, transmission, storage, and processing.