OFDM Radar Signal Processing for Automotive RVM Control
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Solution Overview
Problem
OFDM radar systems face challenges with high memory requirements and computational demands, as well as limited control over the size of the range-velocity map (RVM), which is particularly problematic for automotive applications.
Innovation Solution
The method involves decimating and processing OFDM symbols to reduce memory requirements and computational loads, while allowing for more control over the RVM size by averaging or discarding elements, and performing discrete Fourier transforms to extract range and velocity information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If standard OFDM waveform processing is used, then complete radar signal information is preserved, but memory requirements and computational demands increase significantly
Solution Approach 1:
The patent extracts and processes only the necessary portions of OFDM symbols for radar signal analysis. By selectively processing specific subcarriers and time samples rather than all received data, the system reduces memory requirements while maintaining essential signal information for range and velocity detection.
Solution Approach 2:
The patent segments the OFDM signal processing into distinct stages: receiving NDS consecutive OFDM symbols, processing them through specific mathematical operations, and generating decimated output. This segmentation allows incremental processing that reduces peak memory requirements compared to handling all symbols simultaneously.
2Measurement precision
If standard OFDM waveform processing is used, then accurate range and velocity detection is achieved, but computational complexity increases
Solution Approach 1:
The patent applies partial processing by computing range and velocity information from a decimated subset of OFDM symbols rather than processing the complete set. This partial action maintains sufficient measurement precision for automotive radar applications while significantly reducing the computational burden of full-signal processing.
Solution Approach 2:
The patent changes processing parameters by introducing decimation factors that reduce the number of symbols processed. By adjusting the decimation level, the system optimizes the balance between detection accuracy and computational complexity, making the processing suitable for automotive radar constraints.
3Area of stationary object
If full OFDM symbol processing is performed, then complete RVM coverage is achieved, but control over RVM size is limited
Solution Approach 1:
The patent introduces dynamic control over RVM size through adjustable decimation parameters. The system can adaptively adjust the processing decimation factor based on operational requirements, allowing flexible control of RVM dimensions while maintaining appropriate coverage for the detection scenario.
Solution Approach 2:
By changing the decimation parameter values, the system dynamically adjusts the effective RVM size. This parameter control enables the radar to optimize its processing resources according to the specific detection needs, whether requiring full coverage or focused monitoring of specific range-velocity regions.
Data Source
AI summary
Methods for processing an OFDM radar signal are provided. A plurality of Nc×NDS receive samples corresponding to a number of NDS consecutive OFDM symbols is received, each OFDM symbol comprising a plurality of Nc subcarriers modulated with a respective modulation symbol. Each of the plurality of Nc×NDS receive samples is divided by its respective modulation symbol to generate a number of NDS processed OFDM symbols. The number of NDS processed OFDM symbols is decimated to generate at least one decimated OFDM symbol. A first type discrete Fourier transform (e.g. IFFT) of the at least one decimated OFDM symbol is performed to generate at least one first transformed vector.


