FMCW Radar Doppler Integration Pipelining
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Solution Overview
Problem
Current radar systems using frequency modulated continuous wave (FMCW) technology face inefficiencies in processing large volumes of data, particularly in determining target velocities, due to the requirement of storing the entire 3D radar cube before processing can commence, which limits memory usage and processing speed.
Innovation Solution
The implementation of a method that processes individual horizontal 'slices' of the 3D radar cube during respective timeslots, allowing the Doppler FFT block to write Range-Doppler coordinate pairs to memory, enabling pipelining and reducing memory requirements, while the integration block combines data from multiple antennas to determine Range-Doppler sums efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the entire 3D radar cube is stored in memory before processing, then complete radar data is available for analysis, but memory requirements increase significantly and processing speed decreases
Solution Approach 1:
The patent divides the 3D radar cube into multiple 2D horizontal slices, each representing a specific range bin. This segmentation allows processing of individual slices independently rather than requiring the entire 3D data structure to be stored and processed simultaneously, thereby reducing memory requirements while maintaining data completeness for each slice.
Solution Approach 2:
The patent performs Range FFT processing on individual horizontal slices before completing the entire data acquisition cycle. By preprocessing data as it becomes available rather than waiting for complete data collection, the system reduces the peak memory burden and enables earlier detection operations to begin on processed slices.
2Reliability
If the entire 3D radar cube is stored before processing, then all data is available for comprehensive analysis, but processing time increases due to sequential operations
Solution Approach 1:
The patent performs Range FFT processing on individual horizontal slices as soon as they are acquired, rather than waiting for the complete 3D radar cube to be collected. This preliminary processing of subsets of data enables detection operations to begin earlier and allows overlapping of data acquisition, processing, and detection operations, thereby reducing total processing time.
Solution Approach 2:
The patent enables continuous processing by pipelining operations where Range FFT processing, detection, and integration operations continue without interruption on different data slices simultaneously. This eliminates idle time between operations and maintains continuous useful action throughout the radar processing cycle.
3Quantity of substance
If traditional sequential processing is used, then memory requirements are reduced, but processing speed and detection performance decrease
Solution Approach 1:
The patent segments the processing task into independent operations that can execute in parallel: Range FFT processing of individual slices, detection operations on processed slices, and integration of detection results. This segmentation enables concurrent execution of multiple processing stages, increasing throughput and processing speed without requiring proportional increases in memory resources.
Solution Approach 2:
By performing Range FFT processing on individual slices before the complete data set is available, the patent enables detection operations to begin earlier on processed slices. This preliminary processing creates a pipeline where data acquisition, transformation, and detection overlap in time, significantly improving processing throughput while maintaining efficient memory utilization.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach significantly reduces memory needs, facilitates pipelining, and enables faster detection of targets by processing data in a streamlined manner, providing higher performance and lower power consumption compared to traditional methods.
Implementation Method 1
Radar (RAdio Detection And Ranging) systems use radio waves to determine the location and/or velocity of targets in a field
Implementation Method 2
a radar system that utilizes Doppler division multiplexing in frequency modulated continuous wave radar
Implementation Method 3
frequency modulated continuous wave (FMCW) radar system with a transmitter configured to transmit FMCW radar signals
Data Source
AI summary
Some aspects of the present disclosure relate a radar system including a radio frequency (RF) receiver that receives radar data on a plurality of receive antennas. A fast Fourier transform (FFT) circuit is coupled to the RF receiver. The FFT circuit performs a FFT on the radar data to provide a plurality of Range-Doppler coordinate pairs that pertain to the plurality of receive antennas. An integration block is coupled to the FFT circuit, and sums multiple Range-Doppler coordinate pairs for respective Doppler bins to provide a plurality of Range-Doppler sums. The integration block also sums multiple Range-Doppler sums within the plurality of Range-Doppler sums to provide an integration result. The multiple Range-Doppler coordinate pairs that are summed are spaced apart from one another by a Doppler offset.