When the airborne weather radar detects microburst field, the echoes of wind field are usually submerged by strong background clutter. In this paper, a novel method of wind speed estimation of microburst based on pre-filtering based reduced rank STAP approach is proposed. The method constructs reduced-rank adaptive processors for distributed meteorologic target to achieve clutter suppression and signal matching, and to obtain the wind speed of the microburst field. The experimental results show that the proposed method can achieve clutter suppression and get accurate wind speed estimation with low computational burden.
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