Multi-Bernoulli Sensor Control via Minimization of Expected Estimation Errors

被引：52

作者：

Gostar, Amirali K. ^{[1
]}

Hoseinnezhad, Reza ^{[1
]}

Bab-Hadiashar, Alireza ^{[1
]}

机构：

[1] RMIT Univ, Bundoora, Vic 3083, Australia

来源：

IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS | 2015年 / 51卷 / 03期

基金：

澳大利亚研究理事会;

关键词：

MULTITARGET TRACKING; VISUAL TRACKING; PHD FILTERS; MANAGEMENT;

D O I：

10.1109/TAES.2015.140211

中图分类号：

V [航空、航天];

学科分类号：

08 ; 0825 ;

摘要：

This paper presents a sensor-control method for choosing the best next state of the sensors that provide accurate estimation results in a multitarget tracking application. The proposed solution is formulated for a multi-Bernoulli filter and works via minimization of a new estimation-error-based cost function. Simulation results demonstrate that the proposed method can outperform the state-of-the-art methods in terms of computation time and robustness to clutter while delivering similar accuracy.

引用

页码：1762 / 1773

页数：12

共 47 条

[1]

[Anonymous], P 2003 IEEE AER C BI

[2]

[Anonymous], SPIE C SERIES

[3]

[Anonymous], 2013, PARTICLE FILTERS RAN

[4] Labeled Random Finite Sets and Multi-Object Conjugate Priors [J].