时空自适应处理雷达同时进行角度和多普勒估计的一种有效扎根算法

Conference Record of the Thirty-First Asilomar Conference on Signals, Systems and Computers (Cat. No.97CB36136) Pub Date : 1997-11-02 DOI:10.1109/ACSSC.1997.679097

J. Ward, G. Hatke

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引用次数: 9

摘要

时空自适应处理(STAP)为提高机载监视雷达在地面杂波和干扰环境下的性能提供了潜力。本文应用GAMMA(广义自适应多维单脉冲算法)参数估计方法求解STAP雷达的目标方位和多普勒。GAMMA算法将最大似然目标函数的最大化问题转化为求一对两变量多项式方程的联合解问题。这就避免了在数组流形上搜索最大值的复杂计算任务。将伽玛估计与Cramer-Rao界进行了比较，结果表明新算法具有较好的统计效率。

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An efficient rooting algorithm for simultaneous angle and Doppler estimation with space-time adaptive processing radar

Space-time adaptive processing (STAP) offers the potential for improved airborne surveillance radar performance in environments dominated by ground clutter and interference. This paper applies the GAMMA (generalized adaptive multidimensional monopulse algorithm) parameter estimation approach to solve for the target azimuth and Doppler for a STAP radar The GAMMA algorithm converts the maximization of the maximum likelihood objective function into a problem of finding a joint solution of a pair of two-variable polynomial equations. This obviates the computationally complex task of searching for a maximum over the array manifold. Simulations results comparing the GAMMA produced estimates to the Cramer-Rao bound are given, showing the near statistical efficiency of the new algorithm.

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Conference Record of the Thirty-First Asilomar Conference on Signals, Systems and Computers (Cat. No.97CB36136)

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