Radar Chirp Analysis for Stationary Object and Multipath Separation
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Solution Overview
Problem
Radar apparatuses face challenges in accurately determining whether a stationary object is an obstacle due to the difficulty in distinguishing changes in signal strength caused by distance from the object, leading to potential misidentification of multipath effects as valid targets.
Innovation Solution
A radar apparatus that generates a transmission chirp and uses a signal processing unit to analyze frequency spectral waveforms for variations in peak positions across different frequency bands, distinguishing between peaks due to valid objects and multipath effects by exploiting frequency-dependent characteristics of reflective structures, such as metasurfaces, to reduce multipath interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If radar apparatuses use received signal strength changes to determine obstacles, then moving objects can be detected, but stationary objects cannot be accurately identified
Solution Approach 1:
The patent analyzes frequency spectral waveforms across multiple analysis periods corresponding to different frequency bands of the transmission chirp. By examining variations in peak positions among these frequency spectral waveforms, the system can distinguish stationary objects from multipath effects, thereby extending detection capability to stationary objects while maintaining measurement precision
Solution Approach 2:
The patent introduces frequency domain analysis as an additional dimension beyond traditional time-domain signal strength analysis. By obtaining frequency spectral waveforms for multiple analysis periods and examining peak position variations in the frequency domain, the system gains the ability to detect stationary objects that were previously indistinguishable from multipath interference
2Productivity
If radar apparatuses rely on signal strength changes due to distance, then dynamic target detection is effective, but stationary target detection fails
Solution Approach 1:
The system maintains high detection efficiency by processing frequency spectral waveforms across multiple analysis periods. The signal processing unit efficiently analyzes peak position variations in the frequency domain, enabling reliable stationary object identification without sacrificing the productivity of dynamic target detection
Solution Approach 2:
The patent divides the detection process into multiple analysis periods corresponding to different frequency bands. By segmenting the frequency spectrum and analyzing peak positions in each band, the system can reliably identify stationary objects while maintaining efficient processing of dynamic targets
3Object-generated harmful factors
If reflective structures are present along multipath routes, then multipath effects increase, but frequency-dependent characteristics can be exploited for distinction
Solution Approach 1:
The patent converts the harmful multipath effect into a useful distinction mechanism. By exploiting the frequency-dependent characteristics of reflective structures, the system causes multipath peaks to vary in position across different frequency bands, while valid object peaks remain stable. This allows the system to distinguish and eliminate multipath interference, improving object identification accuracy
Solution Approach 2:
The system changes the analysis parameter from time-domain signal strength to frequency-domain peak position. By examining how peak positions vary across multiple frequency bands, the system can identify multipath effects (which show position variations) versus valid objects (which show consistent positions), thereby maintaining measurement precision even in the presence of reflective structures
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 allows for accurate identification of objects even when stationary, by differentiating between valid targets and multipath effects based on peak position variations, thereby enhancing the accuracy of distance measurement and reducing false targets.
Implementation Method 1
a transmission antenna that transmits the transmission chirp
Implementation Method 2
a reception antenna that is configured to receive a reflected wave, from an object to be detected, of the transmission chirp transmitted from the transmission antenna
Implementation Method 3
a mixer that mixes the transmission chirp and a reception chirp received by the reception antenna to generate an intermediate frequency signal
Data Source
AI summary
Transmission signal generation circuitry generates a transmission chirp, and the transmission chirp is transmitted from a transmission antenna. A reflected wave, from an object to be detected, of the transmission chirp transmitted from the transmission antenna is received by a reception antenna. A mixer mixes the transmission chirp and a reception chirp received by the reception antenna to generate an intermediate frequency signal. Signal processing circuitry obtains, for a plurality of respective analysis periods corresponding to different frequency bands of the transmission chirp, frequency spectral waveforms of the intermediate frequency signal, detects a peak appearing in the plurality of frequency spectral waveforms, and determines, based on variations in peak position among the plurality of frequency spectral waveforms, whether or not the peak is due to a valid object.