MIMO radar target localization via Markov Chain Monte Carlo optimization

Junli Liang, Yajun Chen, Zhonghua Ye

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

In this paper, we focus on the problem of target localization in distributed multiple-input multiple-output (MIMO) radar, where the range measurements are the sum of transmitter-to-target and target-to-receiver distances. To determine the target position, this paper presents a Bayesian approach, in which a Bayesian model is derived for the noisy range measurements and thus the posterior distribution of the unknown target position parameters is defined. However, this complicated distribution is unhelpful for sampling directly. To solve it, this paper applies the Markov Chain Monte Carlo (MCMC) method to estimate the corresponding posterior distribution and draws samples via Gibbs sampling. The performance of the developed algorithm is demonstrated via computer simulation.

源语言英语
主期刊名2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015
编辑Zhuo Tang, Jiayi Du, Shu Yin, Renfa Li, Ligang He
出版商Institute of Electrical and Electronics Engineers Inc.
2158-2162
页数5
ISBN(电子版)9781467376822
DOI
出版状态已出版 - 13 1月 2016
活动12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015 - Zhangjiajie, 中国
期限: 15 8月 201517 8月 2015

出版系列

姓名2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015

会议

会议12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015
国家/地区中国
Zhangjiajie
时期15/08/1517/08/15

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