| Target tracking based on frequency spectrum amplitude |
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| 作者姓名： | Guo Huidong Zhang Xinhua & Xia Zhijun Research Center on Signal and Information Dalian Navy Academy Dalian P. R. China |
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| 作者单位： | Guo Huidong，Zhang Xinhua & Xia Zhijun Research Center on Signal and Information，Dalian Navy Academy，Dalian 116018，P. R. China |
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| 基金项目： | This project was supported by the Defense Pre-Research Project of the‘Tenth Five-Year-Plan’of China (40105010101) |
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| 摘 要： | 1 .INTRODUCTIONIn target tracking, attribute parameters can beused to i mprove the performance of data associa-tion. The probabilistic data association ( PDA)which employ the attribute enhance the capabilityof data association and i mprove the performancefor target tracking. The method of PDA is per-formedin the environment of high signal to noise(SNR) generally and the SNRis in excess of 10dB.But the SNRinthe actual environment is lowerthan 10 dB commonly . When SNRis below0 dB,…
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| 收稿时间： | 6 January 2005. |
Target tracking based on frequency spectrum amplitude |
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| Guo Huidong,Zhang Xinhua & Xia Zhijun Research Center on Signal and Information,Dalian Navy Academy,Dalian ,P. R. China.Target tracking based on frequency spectrum amplitude[J].Journal of Systems Engineering and Electronics,2006,17(3):473-476. |
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| Authors: | Guo Huidong Zhang Xinhua Xia Zhijun |
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| Institution: | Research Center on Signal and Information, Dalian Navy Academy, Dalian 116018, P. R. China |
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| Abstract: | The amplitude of frequency spectrum can be integrated with probabilistic data association (PDA) to distinguish the target with clutter echoes, especially in low SNR underwater environment. A new target-tracking algorithm is presented which adopts the amplitude of frequency spectrum to improve target tracking in clutter. The probabilistic density distribution of frequency spectrum amplitude is analyzed. By simulation, the results show that the algorithm is superior to PDA. This approach enhances stability for the association probability and increases the performance of target tracking. |
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| Keywords: | target tracking amplitude frequency spectrum Probabilistic data association |
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