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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jinjie Yao Jinxiao Pan Yan Han Liming Wang |
| Copyright Year | 2010 |
| Description | Author affiliation: National Key Laboratory of Electronic Testing Technology, North University of China, Taiyuan, 030051, China (Jinjie Yao; Jinxiao Pan) || National Key Laboratory of Ministry of Education, North University of China, Taiyuan, 030051, China (Yan Han; Liming Wang) |
| Abstract | 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 particle swarm optimization with stochastic inertia weight and adaptive mutation, and adopts it to solve the target localization problem according to the batch of continuous TDOA measurements. The experimental results show that the new algorithm has higher localization accuracy, better algorithm stability and faster convergence rate. |
| File Size | 1063287 |
| File Format | |
| ISBN | 9781424472352 |
| e-ISBN | 9781424472376 |
| DOI | 10.1109/ICCASM.2010.5622746 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-10-22 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Base stations Time difference localization Stochastic processes Signal processing algorithms Computer applications Particle swarm optimization Modeling Stochastic inertia weight Adaptive mutation Convergence |
| Content Type | Text |
| Resource Type | Article |
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