基于模型的环境修正匹配滤波算法

Model-based environment correction matching filtering algorithm

由于主动声呐发射信号经过浅海多途信道传播后,回波信号与参考信号相关性降低,进而导致匹配滤波器检测性能下降。针对此问题,本文对基于模型的环境修正匹配滤波器进行了研究。通过修正匹配滤波器的参考信号,改善匹配滤波器受多径效应影响时处理性能下降的问题。同时,本文进一步对比了2种信道估计算法。仿真分析和试验数据处理结果表明:验证了算法可在去除目标周围相关峰的同时,对噪声进行一定程度的抑制。本文算法改善了经典匹配滤波器因环境影响而使得其处理性能下降的问题。

We apply the model-based environment correction matched filter to solve the problem of reduced processing performance because of decreased correlation between the echo signal and the reference signal due to active sonar transmission signal propagation through multiple channels in the shallow sea.By modifying the reference signal of the matched filter,the processing performance when the matched filter is affected by the multipath effect is improved.In addition,the two-channel estimation algorithms are compared by simulation analysis and experimental data processing,which proves that the algorithm can suppress noise to a certain extent while removing relevant peaks around the target.The algorithm in this paper shows that there is an improvement in the processing performance of a classical matched filter.