Browse By Repository:

 
 
 
   

Performance Of SNR And BER In Three Different Of Diversity Techniques

Siti Yuszaini , Muhamad Hamzah (2009) Performance Of SNR And BER In Three Different Of Diversity Techniques. Project Report. UTeM, Melaka,Malaysia. (Submitted)

[img] PDF (24 Pages)
Performance_Of_SNR_And_BER_In_There_Different_Of_Diversity_Techniques_Siti_Yuszaini_Bt_Muhamad_Hamzah_TK5102.9.S60_2009_-_24_Pages.pdf - Submitted Version

Download (392kB)
[img] PDF (Full Text)
Performance_Of_SNR_And_BER_In_There_Different_Of_Diversity_Techniques_Siti_Yuszaini_Bt_Muhamad_Hamzah_TK5102.9.S60_2009.pdf - Submitted Version
Restricted to Registered users only

Download (968kB)

Abstract

The next generation wireless systems are required to have high voice quality as compared to current cellular mobile radio standards and provide high bit rate data services (up to 2 Mbits/s). These systems are supposed to have better quality and coverage, be more power and bandwidth efficient, and be deployed in diverse environments. Increasing the quality or reducing the effective error rate in a multipath fading channel is extremely difficult. In a multipath fading, using typical modulation and coding schemes, reducing the effective bit error rate (BER) from 10-2 to 10-3 may require up to 10 dB improvements in signal to- noise ratio (SNR). The improvement in SNR may not be achieved by higher transmit power or additional bandwidth, as it is contrary to the requirements of next generation systems. This project is to examine the relationship and the performance between Signal to Noise Ratio (SNR) and Bit Error Rate (BER) in three differences of Diversity Techniques which are in Selection Combining, Equal Gain Combining and Maximal Ratio Combining. These three diversity techniques are the techniques that applied to combine the multiple received signals of a diversity reception device into a single improve signal. The objective of this project is to examine the relationship of the performance between signal-to-noise ratio and bit error rate in these three different diversity techniques. This project should able to differentiate the characteristic of each diversity techniques. The performance of SNR and BER can be analyzed from result of simulation by using Matlab software. From the results, the best of diversity techniques will be chosen.

Item Type: Final Year Project (Project Report)
Uncontrolled Keywords: System analysis, Signal processing
Subjects: T Technology > T Technology (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Library > Final Year Project > FKEKK
Depositing User: Mohd Syahrizal Mohd Razali
Date Deposited: 19 Sep 2012 03:37
Last Modified: 28 May 2015 03:37
URI: http://digitalcollection.utem.edu.my/id/eprint/5787

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year