Particle Filter based Target Tracking in Wireless Sensor Networks using Support Vector Machine
Target tracking is estimating the state of moving targets using noisy measurements obtained at a single observation point or node. Particle filters or sequential Monte Carlo methods use a set of weighted state samples, called particles, to approximate the posterior probability distribution in a Baye...
| 主要な著者: | , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
Ferdowsi University of Mashhad
2018-01-01
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| シリーズ: | Computer and Knowledge Engineering |
| 主題: | |
| オンライン･アクセス: | https://cke.um.ac.ir/article_38865_fbdf0053d0c23f212a3effb120c0e61d.pdf |