Application of particle swarm optimization with stochastic inertia weight and adaptive mutation in target localization

Target localization based on time difference of arrival (TDOA) measurements has important applications in sonar, radar and sensor networks. This paper simply introduced the target localization principle of moving emitter and the position location algorithm. Further more presented an improved particl...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Jinjie Yao, Jinxiao Pan, Yan Han, Liming Wang
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Adaptive mutation Base stations Computer applications Convergence Modeling Particle swarm optimization Signal processing algorithms Stochastic inertia weight Stochastic processes Time difference localization
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