Radar Data Processing Segmentation for Signal-to-Noise Ratio
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Solution Overview
Problem
Current radar systems face challenges in efficiently processing high-resolution radar data from high-density scenes, leading to resource saturation and inadequate monitoring of processing resources, particularly in high-clutter scenarios.
Innovation Solution
A system and method that determine substantially equally spaced frequency intervals within radar data, transform and sum the data to form adaptive radar data with a higher signal-to-noise ratio, allowing for adaptive bandwidth management and improved resource allocation for object detection and tracking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-resolution radar systems are used to process high-density scenes, then measurement precision is improved, but productivity deteriorates due to resource saturation
Solution Approach 1:
The patent divides the wideband radar signal into multiple sub-bands using frequency interval generation. Each sub-band is processed separately through transformation and magnitude determination, then results are combined. This segmentation allows the system to handle high-density scenes by distributing processing load across multiple frequency intervals, preventing resource saturation while maintaining high measurement precision through adaptive processing of each segment.
2Measurement precision
If bandwidth is increased to improve detection capability, then measurement precision is improved, but use of energy increases due to resource requirements
Solution Approach 1:
The patent implements adaptive processing where the system dynamically adjusts processing parameters based on detected signal characteristics. The adaptive radar data generation modifies processing intensity and resource allocation according to the actual detection needs in different frequency intervals. This dynamic adaptation maintains high detection capability while optimizing energy usage by applying processing resources only where and when needed, rather than uniformly across the entire bandwidth.
3Measurement precision
If signal processing is enhanced to improve signal-to-noise ratio, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent segments the signal processing into distinct modular stages: interval generation, transformation, magnitude determination, and adaptive data generation. Each module performs a specific function that contributes to signal-to-noise ratio enhancement. This modular segmentation improves measurement precision through systematic signal enhancement while managing device complexity by organizing processing functions into manageable, reusable components that can be implemented efficiently.
Data Source
AI summary
Described are computer-based methods and apparatuses, including computer program products, for radar data processing. In some examples, the method includes determining a plurality of substantially equally spaced frequency intervals within radar data based on an interval size; transforming parts of the radar data within each of the plurality of substantially equally spaced frequency intervals; determining a magnitude of each of the transformed parts of the radar data; and summing the magnitude for each of the transformed parts of the radar data to form adaptive radar data. The adaptive radar data can have a higher signal-to-noise ratio than the radar data.