基于逆QR分解的机载雷达空时二维自适应处理算法

对于各列先微波合成为列子阵的矩形正侧面相控阵机载预警的雷达的空时二维自适应处理，由于不可避免的阵元随机幅相误差导致各列子阵的仰角方向图（特别在副瓣区）有罗大差异，其杂波谱沿斜距呈非平稳性，要求空时二维自适应处理的权值能适应这种非平稳性，本文基于逆ＱＲ分解技术提出了一种求解空时二维自适应处理权值的快速递推算法，实验结果表明，用该算法获得的权值有效地民晨平稳环境下杂波抑制性能。

Inverse QR Decomposition Based Space-Time Adaptive Processing Algorithm for Airborne Radars

For airborne early warning (AEW) radars with a side looking rectangular plannar phased array,if the elements in each column are combined into a subarray at the microwave level first,the random amplitude and phase errors existing inevitably in the array elements would give rise to much differeme in column subarray patterns in elevation,especially in sidelobearea,and result in the received clutter with nonstationary characteristics.It is highly desirable that the weight vectors of space time adaptive processing (STAP) be able to adapt the nonstationary characteristics in time.For this purpose,a fast recursive algorithm is presented based on an inverse QR decomposition in this paper.The computer simulation results show that the weight vectors obtained by the proposed algorithm allow the space time adaptive processor outperform the Capon adaptive processor for the rejection of the clutter with nonstationary characteristics.