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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） 有较大差异，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 Ｑ Ｒ 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能有效地改善非平稳环境下杂波抑制性能．
For the space-time two-dimensional adaptive processing of the rectangular front-side phased array airborne pre-alarm radar with various columns synthesized first by microwaves, the elevation pattern of each array sub-array due to the unavoidable random amplitude and phase errors of the array elements Side lobe region) is quite different, the clutter spectrum along the slope distance was non-stationary, requiring space-time two-dimensional adaptive processing weights to adapt to this non-stationary. In this paper, we propose a fast recursive algorithm for solving the space-time two-dimensional adaptive weighting based on inverse Q-factorization. Experimental results show that the weight obtained by this algorithm can effectively improve clutter suppression performance in non-stationary environment.