CAJ | 학술논문

在非均匀环境中，缺乏独立同分布的训练样本会使空时自适应处理(Space-Time Adaptive Processing, STAP)算法性能严重下降。针对这个问题，该文提出一种基于环境动态感知的空时自适应处理方法。该方法首先通过发射一组正交信号感知观测场景获取杂波信息；然后利用杂波信息结合平台参数及系统参数预测未来一段时间内杂波的协方差矩阵；最后将预测的协方差矩阵与样本协方差矩阵进行组合以构造空时滤波器。仿真结果表明，与传统的知识辅助类 STAP 算法相比，该方法在缺乏准确先验知识的情况下依然可以有效地抑制非均匀环境中的杂波。
재비균균배경중，결핍독립동분포적훈련양본회사공시자괄응처리(Space-Time Adaptive Processing, STAP)산법성능엄중하강。침대저개문제，해문제출일충기우배경동태감지적공시자괄응처리방법。해방법수선통과발사일조정교신호감지관측장경획취잡파신식；연후이용잡파신식결합평태삼수급계통삼수예측미래일단시간내잡파적협방차구진；최후장예측적협방차구진여양본협방차구진진행조합이구조공시려파기。방진결과표명，여전통적지식보조류 STAP 산법상비，해방법재결핍준학선험지식적정황하의연가이유효지억제비균균배경중적잡파。
In heterogeneous clutter environments, Space-Time Adaptive Processing (STAP) shows notable performance degradation for lacking sufficient Independent Identically Distributed (IID) training samples. To solve this problem, a STAP approach is proposed based on dynamic environment sensing. With transmitted signal being orthogonal waveform, the clutter information is achieved. Then the clutter information and platform parameters are used and a clutter covariance matrix at future time is obtained incorporating system parameters. Finally, the space-time processor can be built based on the combination of the predicted clutter covariance matrix and the sample covariance matrix. The simulation results demonstrate that the new approach still can achieve better clutter suppression performance under circumstance of inaccurate environmental knowledge.