中文摘要：

针对空频自适应滤波处理中节拍样点两端的输出信干噪比急剧下降的问题,建立了子带自适应阵列处理与空时自适应阵列处理等效关系的数学模型,指出了变换正交基函数的影响,提出利用时频分析特性优良的小波包变换取代傅立叶变换形成新的子带自适应阵列处理,减少子带间的频谱混叠,从而提高系统节拍样点两端的输出信干噪比。对基于不同窗函数的空频自适应处理和基于小波包变换的子带自适应处理进行了性能仿真,验证了小波包相对于加窗空频自适应处理的优越性。

英文摘要：

The output SINR（Signal to Interference Plus Noise Ratio） declines dramatically at the two ends of the snap samples in the narrowband SFAP（Space Frequency Adaptive Processing）.In order to solve this problem,a mathematical model is founded and analyzed,which presents the relationship between sub-band adaptive array processing and STAP（Space Time Adaptive Processing）,and it points out that the performance of the sample SINR is affected by the orthonormal basis.A new sub-band adaptive array processing is proposed,which uses WPT（Wavelet Packet Transform） to reduce the aliasing distortion between sub-bands,which results to improve the output SINR.Simulation results demonstrate that sub-band adaptive array processing with WPT outperforms SFAP at the ends of the snap samples.