用于机载雷达杂波谱中心估计的极坐标质心法

在机载雷达动目标检测(M TD)处理中,为了有效抑制杂波,必须先对杂波谱中心进行准确估计。该文提出了一种适用于机载M TD杂波谱中心估计的方法——极坐标质心法。它的核心计算环节基于内积运算,因此较常用的基于相关运算的算法可以显著减少运算量;另外,很好地解决了已有的内积算法难以克服的“频谱分裂”问题。针对实际中经常出现的立方杂波谱和G auss杂波谱,仿真实验比较了这种方法和传统典型算法的估计性能,证明了这种方法具有估计准确,运算复杂度小的优点。

Polar coordinate centroid method for estimating clutter spectrum centers in airborne radar

Airborne radar moving target detection(MTD systems must accurately estimate clutter spectrum centroid to suppress the clutter.This paper describes a method based on inner products for estimating clutter spectrum centroid.The algorithm gives higher accuracy than conventional correlation-based algorithms with low computational loads.The algorithm also resolves the spectrum splitting problem in existing algorithms based on inner product.Numerical simulations show that the method is simpler and has good performance for both Gaussian and Cubic clutter spectra,which are normally faced in practical MTD tasks.