Novel method based on fractional lower-order correntropy-analogous statistics for parameter jointly estimation in bistatic MIMO radar |
| |
Authors: | Li LI Tian-shuang QIU Ming-yan HE |
| |
Affiliation: | 1. Information Engineering College, Dalian University, Dalian 116622, China;2. Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian 116024, China |
| |
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. |
| |
Keywords: | bistatic MIMO radar parameter estimation fractional lower-order correntropy-analogous statistics parallel factor Alpha stable distribution |
|
| 点击此处可从《通信学报》浏览原始摘要信息 |
|
点击此处可从《通信学报》下载全文 |
|