Optimal Power Operation of Energy Detector for Random Signals in Gaussian Noise

被引：0

作者：

Akumalla, Venkatareddy ^{[1
]}

机构：

[1] Indian Inst Technol Hyderabad, Dept Elect Engn, Sangareddy 502285, Telangana, India

来源：

13TH IEEE INTERNATIONAL CONFERENCE ON ADVANCED NETWORKS AND TELECOMMUNICATION SYSTEMS (IEEE ANTS) | 2019年

关键词：

Energy detector; probability of false alarm; probability of detection; likelihood ratio test; regression analysis; curve fitting; gamma function;

D O I：

10.1109/ants47819.2019.9117989

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

A simplified expression for the probability of detection and based on that a numerically solved expression for optimal power operation of improved energy detector for random signals in Gaussian noise is proposed. The expression for the optimal power operation of energy detector which maximizes the probability of detection is a function of the system settings viz. probability of false alarm, average signal to noise ratio and sample size. The expression is obtained by numerical curve fitting tool in regression analysis of MATLAB and it has 97.895% of accuracy rate on an average when it is compared with the numerical results. The expression reduces the effort to find the optimum value of power operation based on the system settings to improve the detection performance of current wireless systems, which uses the energy detector. One of such wireless system is cognitive radio, where detecting the presence of primary user signal is crucial for reliable operation.

引用

页数：6

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