Atmospheric Turbulence and Pointing Errors Effects in the Performance Matrices of Wireless Optical Links
Journal Title: International Journal of Electronics Communication and Computer Technology - Year 2015, Vol 5, Issue 2
Abstract
The average channel capacity and bit error rate parameters of free space optical link under atmospheric turbulence modelled by Gamma-Gamma distribution and Kdistribution respectively with pointing error effects has been analysed. The performance indices have been plotted against transmitted power and compared. It has been observed that channel capacity has a slight improvement during night time due to less turbulence effects due to reduced temperature fluctuations in the atmosphere.
Authors and Affiliations
Jeena Maria Cherian| Department of Electronics & Communication Engineering Hindustan University, Shiju C Chacko| Department of Electronics & Communication Engineering Hindustan University, B C Kavitha| Department of Electronics & Communication Engineering Hindustan University, K Sunilkumar| Department of Electronics & Communication Engineering Hindustan University
Keywords
Related Articles
- EP ID EP8435
- DOI -
- Views 367
- Downloads 23
Characterization of AF Relaying Systems to Analyze the Ceiling Properties in System Limitations
In recen times, it was shown that transceiver hardware impairments have a harmful impact on the performance of communiqué systems, especially for high-rate systems. The vast majority of technical contributions in the...
Analysis and Comparison of TAPSK with Multilevel Coding and Non-Coherent Detection for Different Channel Conditions
Error is one of the most important fields in digital communication system. Since error is unavoidable during communication the error correcting codes are used to overcome this problem. Generally the error correcting code...
A Novel Approach on DWT Province for Colorant Watermarking
This article aims at lightweight, visionless recognition of additive spread-spectrum watermarks in the DWT domain. We focus on two host signal clatter models and two types of postulate tests for watermark recognition....
Emotion Detection Using EEG Signal Analysis
This paper focus on various techniques for emotion extraction and emotion classification methods using EEG analysis, and various database for EEG are summarized. In the feature extraction techniques, discrete wavelet...
Sclera Feature Extraction for Personal Authentication
This paper presents sclera-based biometric recognition. The vessel patterns in sclera are different for every individual and this can be used to identify a person uniquely. In this analysis , we are using sobal filter...