Radar Data Evaluation with Range-Based Cycle Storage
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Solution Overview
Problem
Existing radar systems face challenges in efficiently managing memory requirements and improving signal-to-noise ratio and resolution in relative velocity measurements due to limitations in measurement duration and unambiguous distance measurement, particularly when evaluating data across multiple cycles.
Innovation Solution
The method involves subdividing radar data into parameter ranges of the radar spectrum and storing them for varying numbers of measurement cycles based on these ranges, using a first-in-first-out memory system, which reduces memory demands while enhancing signal-to-noise ratio and resolution by selectively retaining data for important parameter ranges.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If radar data from multiple measurement cycles are stored for joint evaluation to improve signal-to-noise ratio and resolution, then measurement precision is improved, but memory requirements increase
Solution Approach 1:
The radar spectrum is divided into multiple parameter ranges (e.g., distance ranges, velocity ranges, angular ranges), and data are stored for different numbers of measurement cycles depending on the parameter range. This segmentation allows critical parameter ranges to retain more data for improved measurement precision while reducing memory usage in less critical ranges.
Solution Approach 2:
Different storage durations are assigned to different parameter ranges based on their specific requirements. Parameter ranges with higher measurement precision requirements retain data for more measurement cycles, while less critical ranges use shorter retention periods, optimizing the balance between measurement quality and memory consumption.
2Measurement precision
If measurement duration is extended to improve resolution in relative velocity, then measurement precision is improved, but maximum unambiguously measurable relative velocity decreases
Solution Approach 1:
The velocity measurement process is segmented into multiple measurement cycles with different duration settings. By combining data from multiple cycles with varying durations, the system achieves high velocity resolution while maintaining the ability to measure higher velocities unambiguously through the shorter cycles.
Solution Approach 2:
Multiple measurement cycles are performed periodically with different duration configurations. This periodic action allows the system to accumulate data for high-resolution velocity measurement while periodically resetting to shorter cycles that maintain unambiguous measurement capability for higher velocities.
Data Source
AI summary
A method for evaluating radar data from a radar sensor. In the method, the radar sensor generates respective radar data in a plurality of measurement cycles. The radar data are subdivided and assigned to parameter ranges of a radar spectrum. The radar data assigned to a parameter range of the radar spectrum are stored for a number of measurement cycles which depends on the parameter range. For each parameter range, the radar data assigned to the parameter range are evaluated.