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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。
In the airborne radar moving target detection (M TD) processing, in order to effectively suppress clutter, we must first accurately estimate the clutter spectral center. This paper presents a method suitable for on-board M TD clutter center estimation - polar coordinate centroid method. Its core calculation is based on inner product operation, so the more commonly used algorithm based on correlation operation can significantly reduce the computational complexity. In addition, the problem of “spectral splitting” which is difficult to overcome by the existing inner product algorithm is well solved. Aiming at the cubic clutter spectrum and Gauss clutter spectrum which often appear in reality, the simulation experiment compares the performance of this method and the traditional one. It proves that this method has the advantages of accurate estimation and small computational complexity.