Performance Comparison between Applying the PHD Filter and Kalman Filter to WSN
碩士 === 大葉大學 === 工學院碩士在職專班 === 98 === In this thesis, the PHD (probability hypothesis density) filter and the Kalman filter are adopted as the two algorithms for tracking the maneuvering objects that deployed in the WSNs (wireless sensor networks) environments. The tracked performance with the RMSE (...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2010
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| Online Access: | http://ndltd.ncl.edu.tw/handle/56040362117423839670 |