Resource Allocation Schemes for Multiple Targets Tracking in Distributed MIMO Radar Systems

Resource Allocation Schemes for Multiple Targets Tracking in Distributed MIMO Radar Systems

Considering the demands of different location accuracy for multiple targets tracking, performance-driven resource allocation schemes in distributed MIMO radar system are proposed. Restricted by the tracking antenna number, location estimation mean-square error (MSE), and target priorities, an optimi...

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Main Authors: Xiyu Song, Nae Zheng, Ting Bai
Format: Article
Language:English
Published: Hindawi Limited 2017-01-01
Series:International Journal of Antennas and Propagation
Online Access:http://dx.doi.org/10.1155/2017/7241281
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spelling doaj-8ec58b91b78b4f76a0d9bb90f5f354ef2020-11-24T23:00:30ZengHindawi LimitedInternational Journal of Antennas and Propagation1687-58691687-58772017-01-01201710.1155/2017/72412817241281Resource Allocation Schemes for Multiple Targets Tracking in Distributed MIMO Radar SystemsXiyu Song0Nae Zheng1Ting Bai2China National Digital Switching System Engineering and Technological Research Center, Zhengzhou 450002, ChinaChina National Digital Switching System Engineering and Technological Research Center, Zhengzhou 450002, ChinaChina National Digital Switching System Engineering and Technological Research Center, Zhengzhou 450002, ChinaConsidering the demands of different location accuracy for multiple targets tracking, performance-driven resource allocation schemes in distributed MIMO radar system are proposed. Restricted by the tracking antenna number, location estimation mean-square error (MSE), and target priorities, an optimization problem of the minimal antenna subsets selection is modeled as a knapsack problem. Then, two operational schemes, modified fair multistart local search (MFMLS) algorithm and modified fair multistart local search with one antenna to all targets (MFMLS_OAT) algorithm, are presented and evaluated. Simulation results indicate that the proposed MFMLS and MFMLS_OAT algorithm outperform the existing algorithms. Moreover, the MFMLS algorithm can distinguish targets with different priorities, while the MFMLS_OAT algorithm can perform the tracking tasks with higher accuracy.http://dx.doi.org/10.1155/2017/7241281
collection DOAJ
language English
format Article
sources DOAJ
author Xiyu Song
Nae Zheng
Ting Bai
spellingShingle Xiyu Song
Nae Zheng
Ting Bai
Resource Allocation Schemes for Multiple Targets Tracking in Distributed MIMO Radar Systems
International Journal of Antennas and Propagation
author_facet Xiyu Song
Nae Zheng
Ting Bai
author_sort Xiyu Song
title Resource Allocation Schemes for Multiple Targets Tracking in Distributed MIMO Radar Systems
title_short Resource Allocation Schemes for Multiple Targets Tracking in Distributed MIMO Radar Systems
title_full Resource Allocation Schemes for Multiple Targets Tracking in Distributed MIMO Radar Systems
title_fullStr Resource Allocation Schemes for Multiple Targets Tracking in Distributed MIMO Radar Systems
title_full_unstemmed Resource Allocation Schemes for Multiple Targets Tracking in Distributed MIMO Radar Systems
title_sort resource allocation schemes for multiple targets tracking in distributed mimo radar systems
publisher Hindawi Limited
series International Journal of Antennas and Propagation
issn 1687-5869
1687-5877
publishDate 2017-01-01
description Considering the demands of different location accuracy for multiple targets tracking, performance-driven resource allocation schemes in distributed MIMO radar system are proposed. Restricted by the tracking antenna number, location estimation mean-square error (MSE), and target priorities, an optimization problem of the minimal antenna subsets selection is modeled as a knapsack problem. Then, two operational schemes, modified fair multistart local search (MFMLS) algorithm and modified fair multistart local search with one antenna to all targets (MFMLS_OAT) algorithm, are presented and evaluated. Simulation results indicate that the proposed MFMLS and MFMLS_OAT algorithm outperform the existing algorithms. Moreover, the MFMLS algorithm can distinguish targets with different priorities, while the MFMLS_OAT algorithm can perform the tracking tasks with higher accuracy.
url http://dx.doi.org/10.1155/2017/7241281
work_keys_str_mv AT xiyusong resourceallocationschemesformultipletargetstrackingindistributedmimoradarsystems
AT naezheng resourceallocationschemesformultipletargetstrackingindistributedmimoradarsystems
AT tingbai resourceallocationschemesformultipletargetstrackingindistributedmimoradarsystems
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