Estimation of the Number of Stochastic EM Sources in Far-Field Using Probabilistic Neural Network

被引：0
|
作者：
Stankovic, Zoran [1 ]
Doncov, Nebojsa [1 ]
Milovanovic, Ivan [2 ]
机构：
[1] Univ Nis, Fac Elect Engn, Aleksandra Medvedeva 14, Nish 18000, Serbia
[2] Singidunum Univ, DLS Ctr Nis, Nish 18000, Serbia
来源：
2015 12TH INTERNATIONAL CONFERENCE ON TELECOMMUNICATIONS IN MODERN SATELLITE, CABLE AND BROADCASTING SERVICES (TELSIKS) | 2015年
关键词：
stochastic radiation; probabilistic neural network;
D O I：
暂无
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
In this paper, a neural model intended to efficiently determine the number of moving electromagnetic sources of stochastic radiation in the monitoring space sector is presented. Neural model is based on a probabilistic neural network. As an illustration, one-dimensional case is considered in which the noisy sources are moving only in the azimuth plane.
引用
收藏
页码：377 / 380
页数：4
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