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Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar

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Reconstruction of Range-Doppler Map Corrupted by FMCW Radar Asynchronization.

Kyung-Min Lee¹, In-Seong Lee², Hee-Sub Shin³

¹Department of Electrical Engineering, Pohang University of Science and Technology, 77 Cheongam-ro, Nam-gu, Pohang 37673, Republic of Korea.

Sensors (Basel, Switzerland)

|July 8, 2023

Summary

This summary is machine-generated.

This study introduces a new method to fix corrupted Range-Doppler maps in Frequency-modulated continuous wave (FMCW) radar systems caused by clock signal asynchronization. The technique successfully reconstructs data, ensuring accurate target detection.

Keywords:

bistatic radar frequency-modulated continuous wave synchronization

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Area of Science:

Radar Systems Engineering
Signal Processing
Automotive Sensing

Background:

Frequency-modulated continuous wave (FMCW) radar systems rely on precise synchronization between transmitter and receiver clock signals.
Asynchronization issues can lead to corrupted Range-Doppler (R-D) maps, hindering accurate target detection and tracking.
Existing methods may struggle with the dynamic nature of asynchronization errors in real-world scenarios.

Purpose of the Study:

To develop and validate a novel signal processing method for reconstructing corrupted R-D maps in FMCW radar systems.
To address the challenge of R-D map corruption caused by clock signal asynchronization.
To improve the reliability of FMCW radar systems for target detection applications.

Main Methods:

A signal processing approach is proposed to reconstruct R-D maps corrupted by FMCW radar asynchronization.
Image entropy is calculated for each R-D map to identify corrupted instances.
Corrupted R-D maps are reconstructed using valid R-D maps acquired immediately before and after the corrupted ones.

Main Results:

The proposed method effectively extracts and reconstructs corrupted R-D maps.
Experimental validation with human and bike-rider targets in indoor and outdoor environments demonstrated successful reconstruction.
Comparison with ground-truth data confirmed the accuracy of the reconstructed range and speed information.

Conclusions:

The developed signal processing method offers a robust solution for R-D map reconstruction in FMCW radar systems experiencing asynchronization.
The technique enhances the reliability of target detection by mitigating the impact of clock signal errors.
This work contributes to the advancement of dependable radar sensing technologies.