文章基本信息

标题：A balanced sensor scheduling for multitarget localization in a distributed multiple-input multiple-output radar network
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作者：Chenggang Wang ; Zengfu Wang ; Xiong Xu 等
期刊名称：International Journal of Distributed Sensor Networks
印刷版ISSN：1550-1329
电子版ISSN：1550-1477
出版年度：2021
卷号：17
期号：7
页码：1
DOI：10.1177/15501477211030121
出版社：Hindawi Publishing Corporation
摘要：In this article, we consider the problem of optimally selecting a subset of transmitters from a transmitter set available to a multiple-input and multiple-output radar network. The aim is to minimize the location estimation error of underlying targets under a power constraint. We formulate it as a minimum-variance estimation problem and show that the underlying variance reduction function is submodular. From the properties of submodularity, we present a balanced selection policy which minimizes the worst-case error value using a minimax strategy. A greedy algorithm with guaranteed performance with respect to optimal solutions is given to efficiently implement the scheduling policy. The effectiveness and the efficiency of the proposed algorithm are demonstrated in simulated examples.
关键词：Multiple-input multiple-output radars; submodular set; minimum-variance estimation; sensor scheduling