关键词: 杂波分区抑制, 多普勒频心估计, 幅度增量搜索

Abstract:

The clutter of airborne fire-control radar in frequency domain is usually partitioned into mainlobe clutter domain and clean domain in practice.Conventional clutter suppressing algorithms generally suppress the clutter with the entire data,thus the loss of signals.This paper proposes a method of clutter partitioned processing for sum and difference beams.First,partition clutter is done by doppler centroid estimation and clutter average power amplitude increment research.Then,the conventional adaptive algorithm is adopted to suppress clutter in mainlobe clutter domain,and constant false alarm rate algorithm for moving target detection (MTD) directly.Experimental results show that the proposed method has similar performance on MTD compared with conventional algorithms,while reducing the loss of signals with low computation load and high practicability.

Key words: clutter partitioned processing,doppler centroid estimation,amplitude increment research