@inproceedings{20085920835e4c1a8be036a7da13c786,
title = "An efficient sensor scheduling for multi-target localisation in MIMO radar networks",
abstract = "The problem of optimally selecting a subset of transmitters and receivers from a set of transmitters/receivers in a MIMO radar network which will minimize the localisation error of multiple in-region targets of interest under power constraint is studied. We show that such a problem can be formulated as an estimation variance minimization problem with a submodular variance reduction function. Based on the property of submodularity, a transmitter/receiver selection policy which minimizes the overall estimation covariance is proposed. Together, we also present an algorithm which can efficiently implement this sensor scheduling policy in polynomial time with a guaranteed accuracy compared to the optimal solution. The effectiveness and efficiency of the proposed method are demonstrated using simulated examples.",
author = "Zengfu Wang and Xuezhi Wang and William Moran and Quan Pan",
note = "Publisher Copyright: {\textcopyright} 2015 German Institute of Navigation (DGON).; 16th International Radar Symposium, IRS 2015 ; Conference date: 24-06-2015 Through 26-06-2015",
year = "2015",
month = aug,
day = "26",
doi = "10.1109/IRS.2015.7226328",
language = "英语",
series = "Proceedings International Radar Symposium",
publisher = "IEEE Computer Society",
pages = "1033--1038",
editor = "Hermann Rohling and Hermann Rohling and Hermann Rohling",
booktitle = "International Radar Symposium, IRS 2015 - Proceedings",
}