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中文摘要：
针对导数更新（derivative based updating，DBU）方法计算量大的缺点，提出了一种可以直接对前视阵雷达接收的回波数据协方差矩阵进行修正的降维DBU方法。该方法利用矩阵分块求逆定理求出修正矩阵，然后利用已有的3DT降维空时自适应处理（space—time adaptive processing，STAP）方法进行处理，不但减少了计算负担，而且降低了对独立同分布（independent identically distributed，IID）样本数目的要求，在性能上接近原来的DBU最优处理方法。实验结果表明，该方法在回波存在各种误差条件下仍然能达到与最优处理接近的性能。
英文摘要：
To deal with the disadvantage of large computational load for derivative based updating（DBU）, a method named reduced dimensional DBU algorithm is proposed. The algorithm uses the matrix blocking reverse theorem to get a revised matrix, then uses the reduced dimensional space time adaptive processing（STAP）method of 3DT. This method can decrease the computational load and reduce the number of independent identically distributed （IID） samples, and it approximates to the original optimal DBU method in performance. The results of experiment show that the method can still obtain a good performance near the optimal processing under clutters with some uncertain errors.
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