Constrained Kalman Filter based Interference Suppression in Phased Arrays

被引：0
|
作者：
Omgond, P. [1 ]
Singh, Hema [1 ]
机构：
[1] CSIR, Natl Aerosp Labs, Ctr Electromagnet CEM, Bangalore 560017, Karnataka, India
来源：
2014 IEEE INTERNATIONAL MICROWAVE AND RF CONFERENCE (IMARC) | 2014年
关键词：
Adaptive array processing; conventional Kalman filter; constrained Kalman filter; mean square error; output SINR;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The constrained Kalman filter-based adaptive algorithm has fast convergence and robustness towards direction-of-arrival (DOA) mismatch. This motivates its usage for interference suppression in phased arrays. The constraints related to high gain towards the desired source and minimum mean square error are imposed in the weight adaptation. The objective is to steer the mainbeam towards the desired direction and simultaneously nullify the interfering sources impinging the array from different directions. It is shown that the output SINR of the algorithm is higher than the well-known gradient-based improved LMS algorithm.
引用
收藏
页码：286 / 289
页数：4
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