Parameters Estimation for Generalized K-Distributed Clutter Model

REN Shuang-qiao; LIU Yong-xiang; LI Xiang; ZHUANG Zhao-wen

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Parameters Estimation for Generalized K-Distributed Clutter Model

更新时间：2025-07-16

- Parameters Estimation for Generalized K-Distributed Clutter Model
- Acta Electronica Sinica Vol. 34, Issue 12, Pages: 2278-2281(2006)
- 作者机构：
  
  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
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN959
- Published：2006
- 稿件说明：
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REN Shuang-qiao, LIU Yong-xiang, LI Xiang, et al. Parameters Estimation for Generalized K-Distributed Clutter Model[J]. Acta Electronica Sinica, 2006, 34(12): 2278-2281.
DOI：

REN Shuang-qiao, LIU Yong-xiang, LI Xiang, et al. Parameters Estimation for Generalized K-Distributed Clutter Model[J]. Acta Electronica Sinica, 2006, 34(12): 2278-2281. DOI：

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.

Abstract

As a precondition for generalized K-distributed clutter model

the speckle component and the amplitude modulated component should obey the generalized Gamma 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.

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