基于分数低阶类相关熵的双基地MIMO雷达目标参数联合估计新算法

doi:10.11959/j.issn.1000-436x.2016236

通信学报 ›› 2016, Vol. 37 ›› Issue (12): 42-49.doi: 10.11959/j.issn.1000-436x.2016236

基于分数低阶类相关熵的双基地MIMO雷达目标参数联合估计新算法

李丽¹,邱天爽²,贺明妍¹

¹ 大连大学信息工程学院，辽宁大连 116622
² 大连理工大学电子信息与电气工程学部，辽宁大连 116024

出版日期:2016-12-25 发布日期:2017-05-15
基金资助:
国家自然科学基金资助项目;国家自然科学基金资助项目

Novel method based on fractional lower-order correntropy-analogous statistics for parameter jointly estimation in bistatic MIMO radar

Li LI¹,Tian-shuang QIU²,Ming-yan HE¹

¹ Information Engineering College, Dalian University, Dalian 116622, China
² Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian 116024, China

Online:2016-12-25 Published:2017-05-15
Supported by:
The National Natural Science Foundation of China;The National Natural Science Foundation of China

摘要/Abstract

摘要：

针对Alpha稳定分布噪声环境下参数估计性能退化的问题，受类相关熵概念的启发，提出分数低阶类相关熵（FCAS）的概念，并采用分数低阶类相关熵准则对平行因子分析(PARAFAC)算法中基于三线性最小二乘（TALS）迭代准则的目标函数进行了修正，推导出适用于冲激噪声环境的韧性平行因子分析（FCAS-PARAFAC）算法，并将该方法应用于双基地MIMO雷达系统中目标参数估计中。FCAS-PARAFAC算法能够抑制脉冲噪声的影响，具有较好的估计性能，并且能够实现自动配对，仿真实验验证了算法的有效性。

关键词: 双基地MIMO雷达, 参数估计, 分数低阶类相关熵, 平行因子分析, Alpha稳定分布

Abstract:

According to the performance degradation problem of parameter estimation algorithm in the Alpha stable dis-tribution noise, inspired by the concept of correntropy, a new class of statistics, namely, the fractional lower-order cor-rentropy-analogous statistics (FCAS) was proposed. By employing the fractional lower-order correntropy-analogous sta-tistics based cost function in parallel factor (PARAFAC), the FCAS-PARAFAC algorithm was deduced which can be utilized for the parallel factor under impulsive noise environments. The FCAS-PARAFAC algorithm was applied to pa-rameter estimation in bistatic MIMO radar under impulsive noise environment. The proposed method can suppress the impulse noise interference and has better estimation performance. Furthermore, the estimated parameters are automati-cally paired without the additional pairing method. Simulation results are presented to verify the effectiveness of the pro-posed method.

Key words: bistatic MIMO radar, parameter estimation, fractional lower-order correntropy-analogous statistics, parallel factor, Alpha stable distribution

李丽,邱天爽,贺明妍. 基于分数低阶类相关熵的双基地MIMO雷达目标参数联合估计新算法[J]. 通信学报, 2016, 37(12): 42-49.

Li LI,Tian-shuang QIU,Ming-yan HE. Novel method based on fractional lower-order correntropy-analogous statistics for parameter jointly estimation in bistatic MIMO radar[J]. Journal on Communications, 2016, 37(12): 42-49.

图/表 5

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基于分数低阶类相关熵的双基地MIMO雷达目标参数联合估计新算法

Novel method based on fractional lower-order correntropy-analogous statistics for parameter jointly estimation in bistatic MIMO radar

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