Radar Signal Resolution Processing via Change Amount Coefficients
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Solution Overview
Problem
Inverse filtering for improving radar signal resolution requires large-capacity memory and often deteriorates the Signal-to-Noise (S/N) ratio.
Innovation Solution
A high resolution processing device that calculates change amounts in radar signals, sets coefficients based on these changes, and produces output signals by multiplying coefficients with anti-logarithmic values, reducing the need for large memory capacity and maintaining S/N ratio.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If inverse filtering is performed to improve resolution, then resolution is improved, but large-capacity memory is required and S/N ratio deteriorates
Solution Approach 1:
The patent changes the processing parameters from conventional inverse filtering to a method based on signal change amounts and coefficients. Instead of using filter functions that require large memory, the invention calculates change amounts (first and second derivatives) and applies coefficients to the anti-logarithmic values of received signals, achieving resolution improvement with reduced memory requirements
Solution Approach 2:
The patent applies different processing approaches to different parts of the signal processing chain. By calculating change amounts locally and applying coefficients based on local signal characteristics, the method achieves high resolution without requiring global large-capacity memory storage
2Measurement precision
If inverse filtering is performed to improve resolution, then resolution is improved, but S/N ratio deteriorates
Solution Approach 1:
The patent changes the processing parameters from conventional inverse filtering to a method based on signal change amounts and coefficients. By using change amounts (first and second derivatives) and applying coefficients to anti-logarithmic values, the method achieves resolution improvement while maintaining better S/N ratio compared to traditional inverse filtering
Solution Approach 2:
The patent converts the potentially harmful effect of noise amplification in inverse filtering into a benefit by using change amount calculations. The method leverages the structure of the received signals and uses coefficients to suppress noise while enhancing resolution, effectively converting the noise problem into an opportunity for improved signal quality
3Measurement precision
If large-capacity memory is used to store data for inverse filtering, then resolution processing is enabled, but device complexity and cost increase
Solution Approach 1:
The patent fundamentally changes the processing parameters from memory-intensive inverse filtering to a computational approach using change amounts and coefficients. This parameter change eliminates the need for large-capacity memory systems while maintaining resolution processing capability, thereby reducing device complexity
Solution Approach 2:
The patent extracts the essential processing requirements from the memory-intensive inverse filtering method. By identifying that only change amount calculations and coefficient applications are necessary, the invention removes the large-capacity memory component entirely, simplifying the device architecture
Data Source
AI summary
A high resolution processing device that is provided to a target finder for detecting a presence of a target, and that increases resolution of a received signal received by the target finder, includes a first change amount calculator, a second change amount calculator, a coefficient setting component, and an output signal production component. The first change amount calculator calculates as a first change amount an amount of change in the received signal received by the target finder per unit quantity in one direction of an angle direction and a distance direction. The second change amount calculator calculates as a second change amount an amount of change in the first change amount per unit quantity in the one direction. The coefficient setting component sets at least one coefficient based on the first change amount and the second change amount.