冲激噪声环境下基于最大相关熵准则的双基地 MIMO雷达目标参数联合估计算法

doi:10.11999/JEIT160022

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Abstract

By employing the Maximum Correntropy Criterion (MCC) based cost function in PARAllel FACtor (PARAFAC), the MCC-PARAFAC algorithm is deduced, which can be utilized for the parallel factor under impulsive noise environments. The MCC-PARAFAC algorithm is applied to parameter 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 automatically paired without the additional pairing method. Simulation results verify the effectiveness of the proposed method.

Key words： Bistatic MIMO radar Parameter estimation Maximum Correntropy Criterion (MCC) PARAllel FACtor (PARAFAC) Impulsive noise

Received: 11 January 2016 Published: 01 September 2016

PACS:

TN958

Fund:

The National Natural Science Foundation of China (61401055)

Corresponding Authors: LI Li E-mail: ffsimple@163.com

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	QIU Tianshuang

Cite this article:

LI Li,QIU Tianshuang. Parameter Jointly Estimation Algorithm in Bistatic MIMO Radar under Impulsive Noise Environment Based on Maximum Correntropy Criterion[J]. JEIT, 2016, 38(12): 3189-3196.

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http://jeit.ie.ac.cn/EN/10.11999/JEIT160022 OR http://jeit.ie.ac.cn/EN/Y2016/V38/I12/3189

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