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主动声呐中线性调频长脉冲信号的子脉冲匹配滤波相干累积方法

Coherent Integration of Sub-Pulse Matched Filtering for Long-Pulse Linear Frequency Modulation Waveform in Active Sonar

  • 摘要: 针对线性调频(linear frequency modulation, LFM)长脉冲信号在时变水声信道中因频谱畸变导致匹配滤波处理增益损失的问题,本文提出一种子脉冲匹配滤波相干累积方法,将长脉冲划分为M个子脉冲进行子脉冲匹配滤波,延时对齐子脉冲匹配峰值后精确估计子脉冲匹配峰值间的相位差并进行相位补偿,最后将补偿对齐后的匹配峰进行相干累积。仿真和试验数据处理结果表明,该方法通过子脉冲划分克服信道相干极限,并且可有效降低因频谱畸变引起的长脉冲匹配滤波处理增益损失,保持了长脉冲的大时间带宽积优势,为解决时变信道中LFM长脉冲信号主动探测问题提供了一种新的解决思路。

     

    Abstract: To address the issue of processing gain degradation in matched filtering caused by spectral distortion of linear frequency modulation (LFM) long-pulse acoustic waveforms propagating through time-varying underwater acoustic channels, this paper proposes a sub-pulse coherent integration method with matched filtering. The long-pulse waveform is partitioned into M sub-pulses for segmented matched filtering. After aligning the matched filter peaks of these sub-pulses, the inter-pulse phase differences are accurately estimated and compensated. The phase-compensated and aligned peaks are then coherently integrated to restore the processing gain. Simulation and experimental results demonstrate that the proposed method effectively overcomes channel coherence limitations through sub-pulse partitioning, significantly mitigating processing gain degradation in long-pulse matched filtering caused by spectral distortion. By preserving the advantageous large time-bandwidth product of long-pulse waveforms, this approach provides a novel framework for addressing active detection challenges of LFM long-pulse signals in time-varying underwater acoustic channels.

     

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