Deconvolution-Based Interference Removal in Synthetic Aperture Radar
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Solution Overview
Problem
Existing methods for removing inter-radar interference waves from reception signals in synthetic aperture radar systems are inefficient, leading to suboptimal interference removal and limited operational capacity due to noise and interference overlap.
Innovation Solution
A signal processing device and method that performs deconvolution on cross-correlation and autocorrelation functions of reference and reception signals to extract channel responses, identifies a main channel response, and reconstructs interference waves for removal, allowing for efficient interference cancellation through convolution and subtraction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If frequency domain masking is used to remove interference waves, then simple frequency filtering is achieved, but sufficient interference removal effect cannot be acquired and variety of interference waves cannot be efficiently removed
Solution Approach 1:
The patent replaces simple frequency domain masking (mechanical filtering approach) with a signal processing approach using deconvolution and autocorrelation analysis. This substitution enables more effective interference removal by analyzing the temporal and spectral characteristics of interference waves through mathematical operations on the reception signal and reference signal, thereby achieving both simplicity and effectiveness.
Solution Approach 2:
The patent changes the parameter space from simple frequency domain masking to a more comprehensive analysis involving deconvolution of cross-correlation functions and autocorrelation functions. By transforming the signal processing approach to analyze channel responses and interference wave characteristics in the time-frequency domain, the system achieves more effective removal of various interference waves while maintaining operational simplicity.
2Adaptability or versatility
If orthogonal send patterns like OFDM chirp are used to avoid interference, then frequency domain separation is achieved, but variety of interference waves mixed in reception signal cannot be efficiently removed
Solution Approach 1:
The patent implements a feedback mechanism by using autocorrelation analysis of the reception signal against reference signals to identify interference wave characteristics. The system continuously analyzes the channel response through deconvolution and uses this information to selectively remove identified interference waves, creating a closed-loop interference removal process that adapts to the actual interference conditions present in the reception signal.
Solution Approach 2:
The patent extracts specific interference wave components from the mixed reception signal by performing deconvolution operations with known reference signals. Through autocorrelation analysis, the system identifies and extracts channel responses corresponding to different interference sources, then selectively removes only the identified interference components while preserving the desired signal, thereby efficiently handling multiple mixed interference waves.
Data Source
AI summary
The present invention is a signal processing device that efficiently removes multiple types of interference waves mixed in with a received signal. This signal processing device is provided with: a first extraction unit that performs deconvolution with respect to a cross-correlation of a reference signal and a received signal and to an autocorrelation of the reference signal, and extracts a channel response to the reference signal; a second extraction unit that extracts a main channel response corresponding to the reference signal from the channel response; and a removal unit that restores a signal by performing convolution with respect to the reference signal and the main channel response, and removes the restored signal from the received signal.