SHORT-TERM FADING SIMULATOR BASED ON ARTIFICIAL NEURAL NETWORKS

被引：2
|
作者：
Tomasevic, Nikola M. [1 ]
Neskovic, Aleksandar M. [1 ]
Neskovic, Natasa J. [1 ]
机构：
[1] Mihailo Pupin Inst, Belgrade, Serbia
来源：
EUROCON 2009: INTERNATIONAL IEEE CONFERENCE DEVOTED TO THE 150 ANNIVERSARY OF ALEXANDER S. POPOV, VOLS 1- 4, PROCEEDINGS | 2009年
关键词：
Short-term fading; simulation; artificial neural networks;
D O I：
10.1109/EURCON.2009.5167869
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：
In this paper, a novel technique for simulation of the short-term fading is presented and analyzed. A proposed solution is based on a trained artificial neural network (in further text ANN) and an oscillator for regulating the simulation process. In order to obtain adequate input data for training, cross-validation and testing, extensive measurements of electric field level were carried out in indoor environment. Statistical analysis of gained results has shown good performances of the proposed technique, and thereby the possibility for applying it in the real life situations.
引用
收藏
页码：1681 / +
页数：2
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