An MPGA-Based Parameter Estimation Method for FDA-MIMO Radar Under Antenna Location Errors

This letter investigates the problem of joint estimation of range and angle in the presence of antenna location errors via a novel self-calibration method in frequency diverse array multiple-input multiple-output radars. Specifically, the proposed method is based on the combination of the multiple p...

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Veröffentlicht in:IEEE antennas and wireless propagation letters 2024, Vol.23 (11), p.3957-3961
Hauptverfasser: Liu, Long, Zhang, Hu, Kong, Xin-Yi, Lan, Lan, Hu, Ling-Xiao, Deng, Jing-Ya
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container_issue 11
container_start_page 3957
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creator Liu, Long
Zhang, Hu
Kong, Xin-Yi
Lan, Lan
Hu, Ling-Xiao
Deng, Jing-Ya
description This letter investigates the problem of joint estimation of range and angle in the presence of antenna location errors via a novel self-calibration method in frequency diverse array multiple-input multiple-output radars. Specifically, the proposed method is based on the combination of the multiple population genetic algorithm and the multiple signal classification algorithm. The Cramér-Rao bounds are combined for target parameters and antenna location errors are derived as the performance benchmark. Numerical results verify the effectivity of the proposed calibration method.
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subjects Antenna arrays
Antennas
Calibration
Cramer-Rao bounds
Cramér–Rao bound (CRB)
Errors
Estimation
frequency diverse array multiple-input-multiple-output (FDA-MIMO) radar
Genetic algorithms
multiple population genetic algorithm (MPGA)
Multiple signal classification
multiple signal classification (MUSIC)
Parameter estimation
Radar
Radar antennas
Radar arrays
Receiving antennas
Self calibration
Signal classification
Vectors
title An MPGA-Based Parameter Estimation Method for FDA-MIMO Radar Under Antenna Location Errors
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