Tracking a near-field moving target using fuzzy neural networks

Ching-Wen Ma, Ching Cheng Teng

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

In this paper we explore the problem of tracking a near-field moving target using fuzzy neural networks (FNNs). The moving target radiates narrow band waves that impinge on an array of passive sensors. At a particular time instance, the location of the target is estimated by several judiciously constructed FNN-based angle and distance estimators. When the target is moving, its trajectory can be on-line estimated due to the parallel and real-time computational capability of the FNNs. Computer simulation results illustrate the performance of the FNN-based angle estimator, distance estimator, and the near-field moving target tracker.

Original languageEnglish
Pages (from-to)365-377
Number of pages13
JournalFuzzy Sets and Systems
Volume110
Issue number3
DOIs
StatePublished - 16 Mar 2000

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