Cargando…

Waveform Optimization for Target Estimation by Cognitive Radar with Multiple Antennas

A new scheme based on Kalman filtering to optimize the waveforms of an adaptive multi-antenna radar system for target impulse response (TIR) estimation is presented. This work aims to improve the performance of TIR estimation by making use of the temporal correlation between successive received sign...

Descripción completa

Detalles Bibliográficos
Autores principales: Yao, Yu, Zhao, Junhui, Wu, Lenan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6022000/
https://www.ncbi.nlm.nih.gov/pubmed/29843453
http://dx.doi.org/10.3390/s18061743
_version_ 1783335581983440896
author Yao, Yu
Zhao, Junhui
Wu, Lenan
author_facet Yao, Yu
Zhao, Junhui
Wu, Lenan
author_sort Yao, Yu
collection PubMed
description A new scheme based on Kalman filtering to optimize the waveforms of an adaptive multi-antenna radar system for target impulse response (TIR) estimation is presented. This work aims to improve the performance of TIR estimation by making use of the temporal correlation between successive received signals, and minimize the mean square error (MSE) of TIR estimation. The waveform design approach is based upon constant learning from the target feature at the receiver. Under the multiple antennas scenario, a dynamic feedback loop control system is established to real-time monitor the change in the target features extracted form received signals. The transmitter adapts its transmitted waveform to suit the time-invariant environment. Finally, the simulation results show that, as compared with the waveform design method based on the MAP criterion, the proposed waveform design algorithm is able to improve the performance of TIR estimation for extended targets with multiple iterations, and has a relatively lower level of complexity.
format Online
Article
Text
id pubmed-6022000
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-60220002018-07-02 Waveform Optimization for Target Estimation by Cognitive Radar with Multiple Antennas Yao, Yu Zhao, Junhui Wu, Lenan Sensors (Basel) Article A new scheme based on Kalman filtering to optimize the waveforms of an adaptive multi-antenna radar system for target impulse response (TIR) estimation is presented. This work aims to improve the performance of TIR estimation by making use of the temporal correlation between successive received signals, and minimize the mean square error (MSE) of TIR estimation. The waveform design approach is based upon constant learning from the target feature at the receiver. Under the multiple antennas scenario, a dynamic feedback loop control system is established to real-time monitor the change in the target features extracted form received signals. The transmitter adapts its transmitted waveform to suit the time-invariant environment. Finally, the simulation results show that, as compared with the waveform design method based on the MAP criterion, the proposed waveform design algorithm is able to improve the performance of TIR estimation for extended targets with multiple iterations, and has a relatively lower level of complexity. MDPI 2018-05-29 /pmc/articles/PMC6022000/ /pubmed/29843453 http://dx.doi.org/10.3390/s18061743 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Yao, Yu
Zhao, Junhui
Wu, Lenan
Waveform Optimization for Target Estimation by Cognitive Radar with Multiple Antennas
title Waveform Optimization for Target Estimation by Cognitive Radar with Multiple Antennas
title_full Waveform Optimization for Target Estimation by Cognitive Radar with Multiple Antennas
title_fullStr Waveform Optimization for Target Estimation by Cognitive Radar with Multiple Antennas
title_full_unstemmed Waveform Optimization for Target Estimation by Cognitive Radar with Multiple Antennas
title_short Waveform Optimization for Target Estimation by Cognitive Radar with Multiple Antennas
title_sort waveform optimization for target estimation by cognitive radar with multiple antennas
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6022000/
https://www.ncbi.nlm.nih.gov/pubmed/29843453
http://dx.doi.org/10.3390/s18061743
work_keys_str_mv AT yaoyu waveformoptimizationfortargetestimationbycognitiveradarwithmultipleantennas
AT zhaojunhui waveformoptimizationfortargetestimationbycognitiveradarwithmultipleantennas
AT wulenan waveformoptimizationfortargetestimationbycognitiveradarwithmultipleantennas