Interference Compression and Mitigation for Automotive FMCW Radar Systems

Millimeter-wave (mm-wave) frequency-modu- lated continuous wave (FMCW) radars are increasingly being deployed for scenario perception in various applications. It is expected that the mutual interference between such radars will soon become a significant problem. Therefore, to maintain the reliabilit...

Full description

Saved in:
Bibliographic Details
Published in:IEEE sensors journal 2022-10, Vol.22 (20), p.19739-19749
Main Authors: Rameez, Muhammad, Pettersson, Mats I., Dahl, Mattias
Format: Article
Language:English
Subjects:
Automotive radar
Autoregressive models
Autoregressive processes
Chirp
Continuous radiation
Interference
interference cancellation
Longitudinal waves
Matched filters
millimeter wave (mm-wave) radar
Millimeter waves
Pulse compression
Radar
Radar detection
Radar equipment
Radar measurement
radar signal processing
Sensors
signal reconstruction
Time-domain analysis
Time-frequency analysis
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Millimeter-wave (mm-wave) frequency-modu- lated continuous wave (FMCW) radars are increasingly being deployed for scenario perception in various applications. It is expected that the mutual interference between such radars will soon become a significant problem. Therefore, to maintain the reliability of the radar measurements, there must be procedures in place to mitigate this interference. This article proposes a novel interference mitigation technique that utilizes the pulse compression principle for interference compression and mitigation. The interference in the received time-domain signal is compressed using an estimated matched filter. Afterward, the compressed interference is discarded, and the signal is repaired in the pulse-compressed domain using an autoregressive (AR) model. Since the interference spans fewer samples after compression, the signal can be restored more accurately in the compressed domain. Real outdoor measurements show that the interference is effectively suppressed down to the noise floor using the proposed scheme. A signal to interference and noise ratio (SINR) gain of approximately 14 dB was achieved in the experimental data, supporting this study. Moreover, the results indicate that this method is also applicable to situations where multiple interference sources are present.
ISSN:1530-437X
1558-1748
1558-1748
DOI:10.1109/JSEN.2022.3204505