Multiple Target Tracking With Unresolved Measurements

被引：11

作者：

Angle, R. Blair ^{[1
]}

Streit, Roy L. ^{[1
]}

Efe, Murat ^{[2
]}

机构：

[1] Metron Inc, Reston, VA 20190 USA

[2] Ankara Univ, Dept Elect & Elect Engn, TR-06830 Ankara, Turkey

来源：

IEEE SIGNAL PROCESSING LETTERS | 2021年 / 28卷

关键词：

Target tracking; Logic gates; Clutter; Sensors; Bayes methods; Standards; Probabilistic logic; Analytic combinatorics; joint probabilistic data association; merged measurements; multiple target tracking; sensor resolution; RESOLUTION;

D O I：

10.1109/LSP.2021.3051858

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A multiple target tracking filter is developed for merged measurement problems that arise with finite resolution sensors. The resulting combinatorial problem is incorporated directly in the joint likelihood function using analytic combinatorics techniques. The Bayesian filter is a sum of several terms that correspond one-to-one to the set of all feasible hypotheses about measurements and targets, i.e., resolved/unresolved, detected/undetected. Performance is demonstrated for two targets in both crossing and parallel target motion scenarios.

引用

页码：319 / 323

页数：5

共 13 条

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