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海底反射干扰下的主动拖曳声呐探测方法

Study on active towed sonar detection under seabed reflection interference

  • 摘要: 水平共线形式的主动拖曳阵声呐的发射阵在工作时存在海底反射波干扰,严重影响设备的回波探测性能。针对这一问题,文章通过提高回波探测的时延估计精度来改善设备在海底反射干扰背景下的探测性能。基于Richardson-Lucy(R-L)解卷积算法,首先分析推导了匹配滤波的卷积模型,然后给出了水声信道脉冲响应函数的迭代求解公式。对不同迭代次数、不同输入信噪比、海底反射波干扰下的目标回波探测性能等方面进行分析,并开展了相关仿真试验。仿真结果表明,R-L解卷积算法具有更窄的主瓣宽度和更低的旁瓣级,适用于低信噪比条件,且收敛速度较快。对水平共线形式的主动拖曳阵声呐设备的探测性能提升明显,湖上试验数据处理结果再次验证了算法的适用性。

     

    Abstract: The launch array of the active towed array, in the form of horizontal collinear, experiences interference from seabed reflection waves during operation. This seriously affects the equipment's echo detection performance. To address this issue, we improved the delay estimation accuracy of echo detection to enhance equipment performance under submarine reflection interference. Using Richardson-Lucy (R-L) deconvolution algorithm, we first analyzed and deduced the convolution model of matched filter and then provided an iterative solution formula for underwater acoustic channel impulse response function. We analyzed target echo detection performance under different iteration times, input signal-to-noise ratios, and seabed reflection wave interferences while conducting relevant simulation tests. Simulation results indicate that R-L deconvolution algorithm has a narrower main lobe width and lower sidelobe level making it suitable for low SNR conditions with faster convergence rates. The active towed array sonar in horizontal collinear form shows significant improvement in its detection performance while verifying once again the applicability of our algorithm through experimental data processing on a lake.

     

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