Radar Signal Processing with Multi-Accuracy FFT Storage
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Solution Overview
Problem
Existing radar signal processing systems face delays due to the complexity and resource-intensive nature of Constant False Alarm Rejection (CFAR) algorithms, limiting their real-time processing capabilities.
Innovation Solution
Implementing a method that determines FFT results from digitized radar data and stores them in multiple accuracy levels, using a combination of FFT engines and bin rejection engines to selectively store and compress FFT bins, reducing memory requirements and computation time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If CFAR algorithms are used for radar signal processing, then detection accuracy is improved, but processing time and computational resources increase significantly
Solution Approach 1:
The patent segments the FFT results into different portions and applies different storage accuracies to each portion. Specifically, it stores a first portion of FFT results with a first accuracy and a second portion with a second accuracy, dividing the data processing task into segments with different resource requirements. This segmentation allows the system to maintain detection accuracy where needed while reducing overall computational burden and processing time.
Solution Approach 2:
The patent applies local quality by using different storage accuracies for different portions of FFT results. Instead of uniformly applying high accuracy to all data, the system selectively applies higher accuracy to specific portions that require it for accurate target detection, while using lower accuracy for other portions. This localized approach optimizes the balance between detection performance and processing efficiency.
2Measurement precision
If high accuracy is maintained for all FFT results, then detection precision is improved, but memory requirements increase
Solution Approach 1:
The patent implements local quality by storing different portions of FFT results with different accuracies. The first portion is stored with a first accuracy while the second portion is stored with a second accuracy, allowing the system to maintain high detection precision for critical data while reducing memory consumption for less critical data. This selective accuracy approach directly addresses the contradiction between precision and memory usage.
Solution Approach 2:
The patent segments the FFT results into multiple portions and applies different storage strategies to each segment. By dividing the FFT results and storing them with different accuracies, the system reduces the total quantity of data that must be stored in memory while maintaining sufficient precision for accurate target detection. This segmentation strategy effectively manages the trade-off between detection precision and memory requirements.
3Reliability
If all FFT results are stored with full accuracy, then processing completeness is maintained, but computation resources are wasted
Solution Approach 1:
The patent segments FFT results into different portions and processes/stores them with different accuracies. This segmentation allows the system to maintain processing completeness for critical portions while reducing computation resources allocated to less critical portions. By dividing the workload and applying different resource levels to different segments, the system achieves reliable processing without wasting computational energy.
Solution Approach 2:
The patent changes the accuracy parameter for different portions of FFT results based on their importance. Instead of using a single fixed accuracy level for all data, the system dynamically adjusts the storage accuracy parameter for different segments, thereby optimizing the balance between processing completeness and computational resource consumption. This parameter variation allows efficient resource allocation while maintaining reliability.
Data Source
AI summary
A method for processing radar signals, wherein said radar signals comprise digitized data received by at least one radar antenna, the method comprising (i) determining FFT results based on the digitized data received; and (ii) storing a first group of the FFT results, wherein the first group of FFT results comprises at least two portions, wherein a first portion of FFT results is stored with a first accuracy and a second portion of FFT results is stored with a second accuracy.