A neural implementation of robust broadband adaptive array

被引：0
|
作者：
Qiang, G
机构：
来源：
ICR '96 - 1996 CIE INTERNATIONAL CONFERENCE OF RADAR, PROCEEDINGS | 1996年
关键词：
D O I：
暂无
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
The computational complexity of robust adaptive array with quadratic constraints is a critical problem in real time implementation. For coping with this problem, the Chua's nonlinear programming recurrent neural network is explored, which is used to solve the optimal solution of the robust adaptive array with quadratic constraints. The present approach converges within several times of the circuit time constant, thus particularly suitable to real time applications.
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页码：371 / 374
页数：4
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