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International Journal of Antennas and Propagation
Volume 2017 (2017), Article ID 7241281, 12 pages
Research Article

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

China National Digital Switching System Engineering and Technological Research Center, Zhengzhou 450002, China

Correspondence should be addressed to Xiyu Song; moc.621@uyixgnosf

Received 1 March 2017; Revised 9 May 2017; Accepted 4 June 2017; Published 30 July 2017

Academic Editor: Ding-Bing Lin

Copyright © 2017 Xiyu Song et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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.