On Improved Bernoulli Filter for Extended Target Tracking

被引：0

作者：

Li, Bo ^{[1
]}

Wang, Shuo ^{[1
]}

机构：

[1] Liaoning Univ Technol, Sch Elect & Informat Engn, Jinzhou 121001, Peoples R China

来源：

PROCEEDINGS OF THE 36TH CHINESE CONTROL CONFERENCE (CCC 2017) | 2017年

基金：

中国国家自然科学基金;

关键词：

Extended target tracking; Particle weight; Bernoulli filter; State estimation; PROBABILITY HYPOTHESIS DENSITY; PHD FILTER; CLUTTER;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The extended target tracking (ETT) is widely used in various surveillance applications. In order to improve tracking accuracy and filtering efficiency of the existing Bernoulli filters, we present an improved Bernoulli filter in this paper. Firstly, the filtering equations of the proposed filter are analytically derived. After employing the weight optimization scheme, we discuss the particle implementation based on adaptive detection gate and scatter number. Finally, the numerical simulations indicate that the proposed filter can achieve the ETT with promising tracking performance.

引用

页码：5405 / 5409

页数：5

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