一种基于形态滤波的水声信号检测算法

An Underwater Acoustic Signal Detection Algorithm Based on Morphological Filtering

针对水声目标检测中色噪声及近场强干扰导致目标检测概率下降的问题,通过分析实际水声信道特性和水声阵列接收信号的LOFAR谱特征,将导向最小方差波束合成(STMV)与形态学滤波技术相结合,提出一种基于数学形态学滤波的水声目标检测方法。在STMV之后,应用联合形态学滤波估计信号噪声基底,进行常规信号检测。海试数据处理结果表明,该算法能在复杂的噪声背景环境下实现对水下微弱目标的有效检测。

In view of the degradation of target detection probability caused by colored noise and near field intensity interference in the underwater acoustic target signal detection,based on analysis of actual underwater acoustic channel characteristics and LOFAR spectrum characteristics of underwater acoustic array receiving signal,a underwater acoustic target detection method based on mathematical morphological filtering is proposed by combining steered minimum variance(STMV) beamforming with morphological filtering theory.After STMV,the combined morphological filtering is used to estimate the noise floor of signal and perform the general signal detection.The sea trial results show that the proposed method can effectively detect the underwater weak target signal under the complex noise environment.