广义K分布杂波模型参数估计  

Parameters Estimation for Generalized K-Distributed Clutter Model

作　　者：任双桥[1] 刘永祥[1] 黎湘[1] 庄钊文[1] 

机构地区：[1]国防科技大学电子科学与工程学院空间电子信息技术研究所,湖南长沙410073

出　　处：《电子学报》2006年第12期2278-2281,共4页Acta Electronica Sinica

基　　金：国家自然科学基金(No.60402032);国防预研项目(No.41303040203)

摘　　要：假设杂波散斑分量和幅度调制分量均服从广义Gamma分布是广义K分布杂波模型的前提条件.本文以参数解耦技术为突破点,提出了一种杂波模型参数估计算法,将一个四维非线性最优化问题转化为一个一维最优化问题,从而降低了计算量和所需样本数,提高了估计性能.仿真结果验证了算法的有效性与准确性.As a precondition for generalized K-distributed clutter model, the speckle component and the amplitude modulated component should obey the generalized Cramma distribution. The paper put forward a model parameters estimation algorithm based on the parameter decoupling technology. This estimation algorithm convert a 4-D nonlinear optimization problem to an 1-D optimization problem, which can not only improve the estimation performance, but also reduce the calculation burden and the number of necessary clutter sample. Finally, the simulation experiment is carried out to prove the validity and veracity of the parameters estimation algorithm.

关 键 词：广义Gamma分布 广义K分布 参数估计 

分 类 号：TN959[电子电信—信号与信息处理]