Radar Simulation Using Path Loss Models and Point Spread Functions
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Solution Overview
Problem
Existing simulation techniques for radar systems are complex and costly, requiring significant computational resources and time to generate simulated radar data, especially for real-time applications, which complicates the testing and validation of vehicle control systems.
Innovation Solution
A fast radar simulation technique that generates simulated radar data with latency meeting real-time constraints, reducing the need for dedicated hardware and simplifying the simulation process by using a path loss model and point spread functions to process simulated scene information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional simulation techniques are used to generate simulated radar data, then measurement precision and reliability are improved, but device complexity and computational resource requirements increase significantly
Solution Approach 1:
The patent creates simplified copies of radar scenes using 3D object models and ray-tracing algorithms to generate synthetic radar data that mimics real radar measurements. This copying approach allows realistic simulation without requiring actual radar hardware or complex physical setups, resolving the contradiction between data accuracy and system complexity
Solution Approach 2:
The patent replaces physical radar hardware and real-world testing with computational algorithms including path loss models, point spread functions, and signal generation algorithms. This substitution eliminates the need for dedicated radar testing equipment while maintaining measurement precision through mathematical modeling of radar physics
2Reliability
If traditional simulation techniques are used to generate simulated radar data, then reliability of testing is improved, but productivity and test time decrease
Solution Approach 1:
The patent pre-generates synthetic radar data for various scene configurations and stores them for rapid retrieval during testing. This preliminary preparation allows real-time or near-real-time simulation without requiring complex computations during actual tests, thereby maintaining reliability while significantly improving productivity
Solution Approach 2:
The patent uses periodic signal models and pulse repetition patterns to generate radar data efficiently. By leveraging the periodic nature of radar signals, the simulation can rapidly generate realistic data without requiring continuous complex computations, thus improving testing speed while maintaining validation reliability
3Measurement precision
If traditional simulation techniques are used to generate simulated radar data, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The patent divides the radar simulation process into separate independent modules: scene generation, ray-tracing for path loss calculation, point spread function application, and signal generation. This segmentation allows each module to be optimized independently and enables parallel processing, reducing overall computation time while maintaining the precision of each individual processing step
Data Source
AI summary
For example, a radar simulator may be configured to determine simulated radar information corresponding to a simulated scene for a simulated radar system, for example, by processing simulated scene information corresponding to the simulated scene, for example, based on a path loss model and one or more Point Spread Functions (PSFs). For example, the path loss model may represent a path loss of radar signals transmitted by one or more transmitters of the simulated radar system and received by one or more receivers of the simulated radar system. For example, the one or more PSFs may correspond to one or more radar processing procedures applied by the simulated radar system. For example, the radar simulator may be configured to provide an output based on the simulated radar information.