Radar Signal Processing Interference Mitigation
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Solution Overview
Problem
Existing radar systems face inefficiencies in processing signals due to interference, which can lead to increased storage requirements and reduced accuracy in target recognition, particularly in automotive applications where interference from external sources is common.
Innovation Solution
The proposed solution involves conducting interference detection and mitigation on received radar signals, followed by Fast Fourier Transform (FFT) processing and data compression, utilizing temporary storage to reduce unwanted interference and optimize memory usage, allowing for efficient storage of compressed data in a larger memory.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If interference detection and mitigation is conducted on received radar signals, then target recognition accuracy is improved, but processing time and computational complexity increase
Solution Approach 1:
The patent performs interference detection and mitigation as preliminary actions before conducting FFT processing. By detecting and mitigating interference in the raw received signals before transformation, the system improves target recognition accuracy while avoiding the need to reprocess entire FFT results, thus limiting the time penalty to only the detection and mitigation steps rather than full signal processing
2Reliability
If interference mitigation is performed before FFT processing, then signal quality is improved, but memory requirements for temporary storage increase
Solution Approach 1:
The patent segments the signal processing into distinct stages: interference detection, interference mitigation, and FFT processing. Each stage uses temporary storage only when needed, with data being processed and passed to the next stage. This segmentation allows memory to be released and reused between stages rather than requiring all data to be held simultaneously, reducing peak memory requirements while maintaining signal quality through systematic processing
3Quantity of substance
If data compression is applied to FFT results, then storage efficiency is improved, but processing complexity increases
Solution Approach 1:
The patent extracts and removes redundant information from FFT results through compression. By identifying and eliminating duplicate or unnecessary data elements in the frequency domain results, the system achieves storage efficiency improvements without requiring complex transformation algorithms, as the compression operates on already-processed spectral data rather than raw signals
Data Source
AI summary
A radar device is provided that is arranged for conducting an interference detection and mitigation based on received and sampled radar signals and storing interference-mitigated data; conducting an FFT on the interference-mitigated data and storing FF-transformed data; conducting a compression on the FF-transformed data into compressed data; and storing the compressed data in a memory. Also, a method for operating such radar device is suggested.