Multipath Interference Removal in Receivers of Linear Frequency Modulated Radar Pulses

The article describes algorithms for the retrieval of linear frequency modulated (LFM) pulses from a received signal which is corrupted by noise and multipath reflections from ground and stationary objects. Such a problem appears, for example, in electronic intelligence (ELINT) or spectrum sensors t...

Full description

Saved in:
Bibliographic Details
Published in:IEEE sensors journal 2021-09, Vol.21 (17), p.19000-19012
Main Authors: Abratkiewicz, Karol, Samczynski, Piotr Jerzy, Rytel-Andrianik, Rafal, Gajo, Zbigniew
Format: Article
Language:English
Subjects:
Algorithms
Bandpass filters
Electronic intelligence
Entropy
Fourier transforms
Intelligence gathering
LFM pulse
multipath propagation
Radar
Radar signal processing
radar systems
Receivers
Sensors
Spectrogram
spectrum sensing
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:The article describes algorithms for the retrieval of linear frequency modulated (LFM) pulses from a received signal which is corrupted by noise and multipath reflections from ground and stationary objects. Such a problem appears, for example, in electronic intelligence (ELINT) or spectrum sensors that receive and analyze signals originating from an active radar emitting LFM signals. Two computationally efficient methods to solve this problem are presented in this paper. The first is a version of time-frequency filtering based on spectrogram zeros. The second method is based on the chirp rate estimation, fractional Fourier Transform (FrFT) and band-pass filtering to retrieve the original pulse signal. Both of the techniques presented were tested using synthetic signals to measure their statistical properties and then positively verified on real-life recorded signals originating from a non-cooperative radar.
ISSN:1530-437X
1558-1748
DOI:10.1109/JSEN.2021.3087319