基于最小冗余的天基稀疏阵雷达多载频STAP研究

天基GMTI（Ground Moving Target Indication）稀疏阵雷达的模糊性问题受到广泛关注。针对角度模糊、多普勒模糊导致的动目标检测盲区问题，本文将最小冗余思想应用于雷达阵列设计，在子阵列数目受限的情况下，给出两种最小冗余阵列配置，能够解决无模糊测速范围和速度分辨率之间的矛盾，改善稀疏导致的角度模糊问题。在存在多普勒模糊的情况下，结合多载频技术，建立了多载频最小冗余阵雷达系统模型。通过仿真证明空 时 频三维自适应处理比单频STAP（Space-Time Adaptive Processing）性能明显提高，能够有效消除多普勒模糊和提高动目标检测性能。 

Study of STAP Based on Minimum Redundancy and with Multiple Carrier Frequencies for Space Based Sparse Array Radar

The ambiguity problems of space based GMTI (Ground Moving Target Indication) radar using sparse arrays have been greatly concerned. To solve the blind-zone problem of moving target detection induced by angle ambiguity and Doppler ambiguity, an i-dea of the minimum redundancy is applied to array designs for radar, for a restricted element number, two minimum redundancy array configurations are presented, which can effectively mitigate the contradiction between the unambiguous velocity rang and the velocity resolution, as well as improve the angle ambiguity induced by sparseness. Taking Doppler ambiguity into account, the model of minimum redundancy array radar systems with multiple carrier frequencies are founded 0 Simulation results are given to demonstrate the effectiveness of space-time-frequency adaptive processing in improving Doppler ambiguity and GMTI performance.