Back to Search Start Over

A fast disturbance cancellation scheme for orthogonal frequency division multiplexing‐based passive radar exploiting reciprocal filter.

Authors :
Trujillo Rodriguez, Javier
Blasone, Giovanni P.
Colone, Fabiola
Lombardo, Pierfrancesco
Source :
IET Radar, Sonar & Navigation (Wiley-Blackwell). Jan2024, Vol. 18 Issue 1, p56-67. 12p.
Publication Year :
2024

Abstract

This paper proposes a simple non‐adaptive approach for the suppression of direct signal and clutter contributions in a passive radar system based on orthogonal frequency division multiplexing transmissions, exploiting the properties of a reciprocal filter (RF). The use of a RF allows to circumvent the limits posed by the waveform ambiguity function, producing a data‐independent time‐invariant response to a stationary point‐like target echo at the output of the range compression stage. This feature enables simple clutter cancellation strategies, based on the subtraction of delayed portions of the surveillance signal, according to the conventional moving target indication methodologies. The proposed processing scheme consists of a range compression stage based on a RF, followed by a Single Canceller. Its performance is investigated against a simulated and an experimental data set, for the case of a digital video broadcasting‐terrestial‐based passive radar scenario, and it is compared to an alternative scheme based on a conventional matched filter and adaptive cancellation techniques. The proposed approach is shown to yield a perfect cancellation of the clutter returns from a stationary scene under ideal conditions. Moreover, it proves to be robust to real‐world conditions, despite its considerably limited computational load compared to adaptive clutter cancellation techniques. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
17518784
Volume :
18
Issue :
1
Database :
Academic Search Index
Journal :
IET Radar, Sonar & Navigation (Wiley-Blackwell)
Publication Type :
Academic Journal
Accession number :
175140413
Full Text :
https://doi.org/10.1049/rsn2.12480