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Experiment of passive ranging for three-sensor array in shallow water and post processing 被引量:1

Experiment of passive ranging for three-sensor array in shallow water and post processing
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摘要 For improving passive ranging of three-sensor array, a sliding cross-correlation method is adopted to improve the performance of time delay estimation. Compared with the traditional cross-correlation, the sliding cross-correlation's ability is evidently increased. An improved formula which is in high precision for near target is employed. An algorithm of kicking out wild value is presented, which is on line, can track the target automatically. The algorithm named "round filter" can pick out the data in high quality with robustness. A "dynamic filter" is presented, which is combined with the "round filter" as the post processor. The experimental result of three-sensor array passive ranging of near field target in shallow water is introduced, which suggests that the post processor is indeed obvious in improving the ranging performance. For improving passive ranging of three-sensor array, a sliding cross-correlation method is adopted to improve the performance of time delay estimation. Compared with the traditional cross-correlation, the sliding cross-correlation's ability is evidently increased. An improved formula which is in high precision for near target is employed. An algorithm of kicking out wild value is presented, which is on line, can track the target automatically. The algorithm named "round filter" can pick out the data in high quality with robustness. A "dynamic filter" is presented, which is combined with the "round filter" as the post processor. The experimental result of three-sensor array passive ranging of near field target in shallow water is introduced, which suggests that the post processor is indeed obvious in improving the ranging performance.
出处 《Chinese Journal of Acoustics》 2010年第2期181-189,共9页 声学学报(英文版)
基金 supported by the National Defense Key Laboratory Fund(9140C2001010801) by the Shipping Industry Technology Fund(07j3.1.3)
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