基于时频滤波的SAS解多普勒质心模糊改进算法

Improved Doppler Centroid Ambiguity Resolving Algorithm of SAS Based on Time-frequency Filtering

为提高合成孔径声纳(SAS)解多普勒质心模糊的准确性,文章对传统的解模糊算法-波长差异法进行了改进。将距离压缩后的数据进行时频滤波,去除强散射点对功率谱扭曲的影响,进而提高波长差异法的估计精度。计算机仿真实验证明了该方法的有效性。

In order to improve the precision of the method which is used to resolve Doppler centroid ambiguity of SAS, an improved method for the wavelength diversity algorithm is proposed in this paper. A time-frequency filtering method is applied to the data which has been range compressed. In this way, the strong scatters which will distort the power spectra can be eliminated. Simulation results show that the improved algorithm promote the accuracy of the wavelength diversity algorithm effectively.