MIMO radar : target localisation

The research presented in this thesis is concerned with multi-target localisation in MIMO radar. In particular, the aim is to develop novel algorithms which can improve the performance of target localisation. Firstly, a general spatiotemporal received signal model for MIMO radar is formulated. When...

Full description

Bibliographic Details
Main Author: Luo, Kai
Other Authors: Manikas, Athanassios
Published: Imperial College London 2013
Subjects:
Online Access:http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.572294
id ndltd-bl.uk-oai-ethos.bl.uk-572294
record_format oai_dc
spelling ndltd-bl.uk-oai-ethos.bl.uk-5722942017-06-27T03:23:31ZMIMO radar : target localisationLuo, KaiManikas, Athanassios2013The research presented in this thesis is concerned with multi-target localisation in MIMO radar. In particular, the aim is to develop novel algorithms which can improve the performance of target localisation. Firstly, a general spatiotemporal received signal model for MIMO radar is formulated. When the targets' relative delays are negligible, the general model turns into the spatial only signal model in which, in order to enjoy the enhanced parameter identifiability brought by the waveform diversity, a combined approach based on the virtual array structure is proposed for the multiple targets' directions and path gains estimation. The virtual array structure enables the proposed approach to identify more targets with accurate estimation. Besides, inspired by STAR manifold in communications, a novel spatiotemporal signal model for MIMO radar is proposed, which enables the existing multi-target localisation methods designed for the spatial only model working for the spatiotemporal one. Secondly, the multi-target localisation of MIMO radar operating in an envi- ronment with closely located targets is concerned. In such a scenario, the mu- tual interferences among targets severely degrade the performance of the current multi-target parameter estimators. Thus, an optimisation which takes account of the suppression of the mutual interferences for multi-target parameter estimation is formulated and the solutions to it are derived. Thirdly, based on these solu- tions, two novel multi-target parameter estimators are presented. By suppressing the interferences in the estimation, both the proposed methods outperform the existing ones. Finally, for the purpose of exploiting the high directional gain provided by the Tx beamforming in the multi-target localisation of MIMO radar, a joint Tx and Rx multi-target localisation approach is proposed. The cooperation between the Tx beamforming and target localisation enables the proposed approach to achieve better performance for the localisation of multiple targets.621.3Imperial College Londonhttp://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.572294http://hdl.handle.net/10044/1/11148Electronic Thesis or Dissertation
collection NDLTD
sources NDLTD
topic 621.3
spellingShingle 621.3
Luo, Kai
MIMO radar : target localisation
description The research presented in this thesis is concerned with multi-target localisation in MIMO radar. In particular, the aim is to develop novel algorithms which can improve the performance of target localisation. Firstly, a general spatiotemporal received signal model for MIMO radar is formulated. When the targets' relative delays are negligible, the general model turns into the spatial only signal model in which, in order to enjoy the enhanced parameter identifiability brought by the waveform diversity, a combined approach based on the virtual array structure is proposed for the multiple targets' directions and path gains estimation. The virtual array structure enables the proposed approach to identify more targets with accurate estimation. Besides, inspired by STAR manifold in communications, a novel spatiotemporal signal model for MIMO radar is proposed, which enables the existing multi-target localisation methods designed for the spatial only model working for the spatiotemporal one. Secondly, the multi-target localisation of MIMO radar operating in an envi- ronment with closely located targets is concerned. In such a scenario, the mu- tual interferences among targets severely degrade the performance of the current multi-target parameter estimators. Thus, an optimisation which takes account of the suppression of the mutual interferences for multi-target parameter estimation is formulated and the solutions to it are derived. Thirdly, based on these solu- tions, two novel multi-target parameter estimators are presented. By suppressing the interferences in the estimation, both the proposed methods outperform the existing ones. Finally, for the purpose of exploiting the high directional gain provided by the Tx beamforming in the multi-target localisation of MIMO radar, a joint Tx and Rx multi-target localisation approach is proposed. The cooperation between the Tx beamforming and target localisation enables the proposed approach to achieve better performance for the localisation of multiple targets.
author2 Manikas, Athanassios
author_facet Manikas, Athanassios
Luo, Kai
author Luo, Kai
author_sort Luo, Kai
title MIMO radar : target localisation
title_short MIMO radar : target localisation
title_full MIMO radar : target localisation
title_fullStr MIMO radar : target localisation
title_full_unstemmed MIMO radar : target localisation
title_sort mimo radar : target localisation
publisher Imperial College London
publishDate 2013
url http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.572294
work_keys_str_mv AT luokai mimoradartargetlocalisation
_version_ 1718465453103251456