混响背景下舰船辐射回波信号优化检测算法

Optimal detection algorithm of ship radiated echo signal under reverberation background

通过舰船辐射回波信号滤波检测实现攻击目标的准确识别定位,在受到海洋环境的强干扰下检测稳定性不好,提出基于多分量经验模态分解的混响背景舰船辐射回波信号优化检测算法。采用多分辨的阵列传感器实现对舰船辐射回波信号采集,对采集的信号采用格型匹配滤波器进行噪声滤波和干扰抑制处理,通过多径干扰抑制提高信号的纯度,采用多分量的经验模态分解算法提取水声脉冲信号的谱特征量,根据谱特征量的聚焦特性实现对信号的准确定位检测。仿真结果得知,采用该方法进行舰船辐射回波信号检测的输出信噪比较高,时频聚焦性能和检测性能较好,在对潜和对舰目标识别等领域具有很好的应用价值。

The target can be accurately identified and located by filtering detection of ship radiated echo signal,and the detection stability is not good under the strong interference of marine environment.An optimal detection algorithm of ship radiated echo signal in reverberation background based on multi-component empirical mode decomposition is proposed.Multi-resolution array sensor is used to collect the echo signal of ship radiation,and lattice matched filter is used to filter noise and suppress interference.The purity of the signal is improved through multipath interference suppression,and the spectral feature of sonar pulse signal is extracted by multi-component empirical mode decomposition algorithm,thereafter the accurate positioning and detection of the signal is realized according to the focusing characteristics of the spectral feature.The simulation results show that this method has high signal-to-noise ratio,good time-frequency focusing performance and detection performance,and has good application value in the fields of submarine and ship-to-ship target recognition.