Radar Signal Processing via Histogram Analysis and Parallel Modules
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Solution Overview
Problem
Current radar processing devices face inefficiencies in signal processing and target recognition due to limitations in noise figure management and interference detection, which affect the accuracy and reliability of radar systems used in various applications.
Innovation Solution
A radar device comprising an input DMA module, processing module, histogram module, and output DMA module, which enables flexible configuration and processing of radar signals through FFT operations, CFAR analysis, and histogram data management, allowing for efficient interference detection and mitigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional radar signal processing methods are used, then the system structure is simple, but the target recognition accuracy and noise management performance deteriorate
Solution Approach 1:
The radar signal processing system is divided into multiple independent processing modules including FFT processing module, CFAR detection module, histogram analysis module, and interference mitigation module. Each module handles specific processing tasks independently, enabling parallel processing operations that improve target recognition accuracy while maintaining manageable system complexity through modular architecture
Solution Approach 2:
The patent introduces histogram analysis as an additional processing dimension that operates on signal power distributions across frequency bins. This histogram module adds a new analytical perspective beyond traditional amplitude-based detection, enabling more sophisticated target recognition by analyzing the statistical distribution of signal energies across multiple frequency components
2Measurement precision
If comprehensive signal processing operations are performed, then the signal/noise ratio improves, but the computing effort increases
Solution Approach 1:
The system performs FFT processing and histogram analysis on received radar signals before applying CFAR detection thresholds. By pre-processing the signals to transform them into frequency domain representations and pre-calculating histogram statistics, the system prepares optimized data structures that enable faster and more accurate target detection, improving signal/noise ratio while reducing the computational burden on subsequent processing stages
Solution Approach 2:
The histogram module serves as an intermediary between raw FFT output and final CFAR detection. It analyzes the statistical distribution of signal powers and provides refined input data to the CFAR module, acting as a computational bridge that transforms complex spectral data into more manageable statistical parameters, thereby improving detection accuracy while optimizing computing resource utilization
3Loss of information
If FFT processing is applied to all radar signals, then the signal spectrum analysis improves, but the processing time increases
Solution Approach 1:
The signal processing pipeline is segmented into parallel stages where FFT processing, histogram analysis, and CFAR detection operate simultaneously on different data streams. By dividing the processing workload into independent parallel modules, the system maintains comprehensive signal spectrum analysis through FFT while reducing overall processing time through concurrent execution of multiple processing tasks
Solution Approach 2:
The system implements continuous processing where the output of one module immediately becomes the input of the next module without interruption or idle time. The FFT module continuously transforms time-domain signals to frequency domain, the histogram module continuously analyzes power distributions, and the CFAR module continuously performs target detection, maintaining uninterrupted useful action throughout the processing chain to minimize processing delays
Data Source
AI summary
A radar device is disclosed that includes an input DMA module, at least one processing module, a histogram module, and an output DMA module. The input DMA module is configured to access a memory and supply data from the memory to the at least one processing module and/or to the histogram module. Each of the processing modules is configured to be enabled or disabled, wherein the at least one processing module that is enabled is configured to process at least a portion of the data supplied by the input DMA module, wherein the histogram module is fed by data from the at least processing module that is enabled and/or by the input DMA module. The output DMA module is configured to store the data that are processed by the at least one processing module that is enabled in the memory. Also, an according method is provided.