Structure-based joint estimation algorithm for distributed coherent aperture radar

In a distributed coherent aperture radar, the time delay differences and the phase differences among received echoes from each pair of transmitter–receiver should be estimated and then can be compensated to realise coherent processing. Most of the existing algorithms improve the outputs of the match...

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Vydané v:Journal of engineering (Stevenage, England) Ročník 2020; číslo 11; s. 1123 - 1130
Hlavný autor: Liu, Yin
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: The Institution of Engineering and Technology 01.11.2020
Wiley
Predmet:
coherence parameter estimation
coherent processing
delays
distributed coherent aperture radar
echo
equal time delay differences
estimation performance
filtering theory
matched filtered signals
matched filters
parameter estimation
phase differences
radar detection
radar imaging
radar resolution
radar signal processing
received echoes
Research Article
structure-based joint estimation algorithm
synthetic aperture radar
transmitter–receiver pair
radar detection
phase differences
distributed coherent aperture radar
matched filters
coherent processing
filtering theory
transmitter–receiver pair
echo
estimation performance
received echoes
radar signal processing
matched filtered signals
synthetic aperture radar
coherence parameter estimation
radar resolution
delays
equal time delay differences
structure-based joint estimation algorithm
radar imaging
parameter estimation
ISSN:2051-3305, 2051-3305
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Popis
Shrnutí:In a distributed coherent aperture radar, the time delay differences and the phase differences among received echoes from each pair of transmitter–receiver should be estimated and then can be compensated to realise coherent processing. Most of the existing algorithms improve the outputs of the matched filtered signals of each transmitter–receiver pair separately. In this study, a structure of equal time delay differences existing in the signal model can be exploited to jointly perform coherence parameter estimation. With this idea, a structure-based joint estimation algorithm is presented to enhance the performance of the coherence parameter estimation. Simulation results verify that this algorithm can have better estimation performance compared with some existing algorithms in the case of low signal-to-noise ratios. Especially, its performance advantage is more significant in the multiple nearfield target scenarios.
ISSN:2051-3305
2051-3305
DOI:10.1049/joe.2019.0907