针对主动声呐的混响抑制问题,该文将空时2维的处理方法扩展到空、时、相3个维度。该方法通过3个子阵的相位匹配,利用信号相位对信号方位的依从性,从波束域、多普勒域和相位域上分离混响与目标。区别于空时自适应处理(STAP)方法,它不需要知道信号与混响的统计特性,不用进行混响协方差矩阵的估计,从而对混响的非平稳性具有更好的适应性。仿真数据及试验数据的分析证明,该方法较之传统方法能够从更低信混比中检测出目标。
A Space-Time-phase (ST-phase) united processing method is proposed in this paper. It extends the processing domain form space-time to space-time-phase for separating reverberation and targets. Three sub-arrays are firstly constructed. Then, there is a phase difference between the signal parts of sub-array outputs. The value of tile phase is depended on the signal arrival orientation. With tile phase matching of signals, reverberation and targets can be detached. Unlike the Space-Time Aadaptive Processing (STAP), there is no need to analyze the statistical properties of rew~'rberation and the estimation of reverberation covariance matrix can be overleaped. This will improve thc adaptability in non-stationary environment. The simulation data and real data analysis prove that this method can detect out targets in a lower SNR with the compare of conventional method.