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Reseach Article
Space Time Block Code Analysis for MIMO-OFDM System
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 100 - Number 2 |
| Year of Publication: 2014 |
| Authors: Vinay Kumar, C. Ram Singla, Chirag |
10.5120/17494-8019
|
Vinay Kumar, C. Ram Singla, Chirag . Space Time Block Code Analysis for MIMO-OFDM System. International Journal of Computer Applications. 100, 2 ( August 2014), 1-7. DOI=10.5120/17494-8019
Abstract
The growth in high data rate mobile data transmission in recent years is due to the tremendous achievements in Digital Communication especially Digital Modulation Techniques starting from Second Generation system (2G) in early 80's to today 4G (LTE – Advanced). To achieve the goal towards Shannon's Channel Capacity, a no. of modulation techniques are developed during these years. With the tremendous growth in the Very Large Scale Integrated Circuits (VLSI), a no. of digital modulation techniques is easier to implement in convenient manner. Orthogonal Frequency Division Multiplexing (OFDM), one of the latest techniques became feasible and economical due to the high processing speed. OFDM in combination with other techniques like Space Time Block Code (STBC)Phase shift key (PSK) and Quadrature Amplitude Modulation (QAM) give better performances in case of Multi- input Multi-output System (MIMO). This paper presents (STBC) technique for multiple transmission antennae (OFDM) system. Generally in Multi- input Multi- output (MIMO) system code selection across the space and time is difficult to get minimum Bit Error (BER) to achieve maximum output. In adaptive White Gaussian (AWGN) fading channels, STBC is best breakthrough to reduce the BER and obtain maximum output. Like AWGN fading channel the analysis is done for OFDM system using STBC at transmitter end. Various modulation techniques like Binary Phase Shift Key (BPSK) and Quadrature Amplitude Modulation are implemented using mentioned techniques. The Bit Error Rate (BER) versus different Signal to Noise (SNR) ratio are studies for above modulation techniques.
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