Applying adaptive Estimator to maneuvering tracking system

Chien Wen Lai, Pei Kun Chen, Yi Nung Chung, Chao Hsing Hsu

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

An approach of tracking multiple maneuvering targets using an adaptiveEstimator is developed in this paper. With the developed algorithm, the systemwill improve the tracking accuracy and reliability of radar surveillance. Targetmaneuvering situations are usually existed in radar tracking systems and themaneuvering will cause severe tracking errors. Therefore accurately detectingand estimating maneuvering status of targets is one essential step in thereduction of tracking errors. In this paper, an equivalent filter bank structureis designed to estimate the status of target maneuvering situations. Moreover,an adaptive procedure is applied in this algorithm to obtain faster response fortrack filters. In order to achieve the optimal correlation between measurementsand the existing targets, a data, association technique denoted 1-stepconditional maximum likelihood is applied in this system. Based on thisapproach, we can solve the maneuvering and data association problemssimultaneously. ICIC International

Original languageEnglish
Pages (from-to)427-432
Number of pages6
JournalICIC Express Letters
Volume3
Issue number3
Publication statusPublished - 2009 Sep 1

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science(all)

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