在被动声纳对宽带接收信号的处理过程中，常规波束形成器存在波束较宽，方向分辨率低，输出信噪比低等问题，进而导致信号源的方向估计不准确。论文针对常规波束形成器的上述问题，提出了反卷积峰值能量检测算法(Decon-volved Peak Energy Detection Method，DPED)。该算法通过对常规波束形成器的输出进行反卷积计算，提高了输出信噪比，优化了常规波束形成器的空间谱显示。文章讨论了反卷积波束形成的基本方法，给出了反卷积峰值能量检测算法的基本实现流程。通过仿真验证了该算法的有效性。
Deconvolution Peak Energy Detection Algorithm
In the process of processing broadband received signals in passive sonar,conventional beamformer has problems such as wide beam width,low directional resolution,and low output signal-to-noise ratio,which lead to inaccurate direction estimation of the signal source.This article proposes the deconvolved peak energy detection method(DPED)to address the aforementioned issues in conventional beamformers.This algorithm improves the output signal-to-noise ratio and optimizes the spatial spectrum display of the conventional beamformer by performing deconvolution calculations on its output.The article discusses the basic methods of deconvolution beamforming and provides the basic implementation process of the deconvolution peak energy detection algorithm.The effectiveness of the algorithm is verified through simulation.
broadband signalconventional beamformingdeconvolutionpeak energy detection
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