基于Gabor展开的水下目标激光探测的信号检测与识别

Recognition and Detection of the Laser Sounding Signal for the Underwater Target Based on the Gabor Expansion

针对水下目标激光探测的信号检测与识别的问题 ,通过对回波信号的Gabor展开进行分析 ,建立了局部窗口多重相关的峰值检测方法 ,以及利用系数矩阵的迹和特征值描述目标的反射性能 ,实现了对目标的分类识别。实验表明 ,上述方法对目标的有效检测率达 93 0 % ,分类识别有效率达 83 2 %。

The paper discusses the detection and cognition of the laser echo signal of underwater target, based on the ability of the Gabor expansion to localize signals. In virtue of the multiple correlation analysis for the expansion coefficient in local window, the detection method of peak value is founded. By taking the trace and characteristic value of the coefficient matrix as parameters to describe the reflecting ability of underwater target, the classified cognition of the target is carried out. Experimental results show that the effective target detection probability is 93.0% and the classified recognition probability is 83.2%.