Shallow-Water Bottom Target Detection Based on Time, Frequency Dispersive Channel and Adaptive Beamforming Algorithm

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• 作者：Qiang Wang ; Xianyi Gong
• 刊名：Lecture Notes in Computer Science
• 出版年：2007
• 出版时间：2007
• 年：2007
• 卷：4688
• 期：1
• 页码：561-570
• 全文大小：495 KB

文摘

In active sonar system, the detection of bottom object in shallow water is usually a difficult task since the reverberation, which consisting of a large number of spurious echoes, and generates a lot of false alarm. The propagation channel exhibits time-spreading distortion(TSD) and fast fading distortion(FFD) in ocean. The distortion mechanisms degrade optimum detector performance and reduce the performance of high resolution detector in shallow water. The recursive adaptive beamforming based on the recursive least square(RLS) and the generalized sidelobe canceller(GSC) structure is constructed for uniform circular receiving array application. Then we combined detectors based TSD/FFD channel model with RLS-GSC, to enhance bottomed object detection performance in littoral area. The approach is evaluated experimentally using real-data set and in simulation test. It improves detection signal-to-reverberation ratio(SRR) and also reduce false alarm probability in real conditions.