一种基于声起伏特性的水面干扰抑制方法
A method of surface interference suppression based on acoustic fluctuation

利用水面目标和环境噪声起伏较大,而水下目标的声信号起伏较小的特性,可以有效抑制水面干扰,提高水下目标的检测概率。对于单基元频谱分析采用非线性滤波器,进而针对阵列信号处理提出一种基于非线性滤波的连续时间方位历程水面干扰抑制方法。最后,对Swell96的实验数据进行了处理,单基元信号处理结果表明,振幅非线性滤波器和复声压非线性滤波器对于稳定线谱的信噪比(Signal to Noise Ratio,SNR)增益可达15 dB和30 dB;阵列信号处理结果显示所提出的方法能够有效抑制水面声源的航迹,提高水下声源的发现概率。
Clutter signals from ships and noise from the wind and sea surface have relatively high fluctuation characters, but the signals from the sources submerged can be more stable. This phenomenon can be used to suppress the surface interference and to improve the detection probability of the submerged target. The nonlinear filter is used to analyze the spectrum for a single hydrophone, and a method of surface interference suppression for consecutive course is presented in the paper for array processing. Then, the experimental data of Swell96 are processed to prove the effectiveness of the method. The data processing for a single hydrophone shows that the SNR gain for stable line spectrum can be 15 dB and 30 dB with amplitude nonlinear filter and complex sound pressure nonlinear filter respectively. Array processing illustrates that the bearing time track of surface source can be suppressed to improve the detection probability of submerged source.