Ultra-wideband beamforming by using a complex-valued spatio-temporal neural network

被引：0
|
作者：
Suksmono, AB
Hirose, A
机构：
[1] Inst Teknol Bandung, Dept Elect Engn, Bandung, Indonesia
[2] Univ Tokyo, Dept Elect & Elect Engn, Tokyo, Japan
来源：
NEURAL INFORMATION PROCESSING | 2004年 / 3316卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We propose an ultra-wideband (UWB) beamforming technique by using a spatio-temporal complex-valued multilayer neural network (ST-CVMLNN). The complex-valued backpropagation through time (CV-BM) is employed as a learning algorithm. The system is evaluated with an ultra-wideband monocycle signal. Preliminary simulation results in suppression of UWB; interferer and in steering for desired UWB signal, demonstrating the applicability of the proposed system.
引用
收藏
页码：104 / 109
页数：6
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