Analysis of V Blast Technique for MIMO Structure through Image Processing at Various SNR
Abstract— In this paper we provide an efficient scheme for transmission of bit map images over MIMO system by employing spatial multiplexing. The image under test is compressed using bmp compression algorithm and all the pixels are transmitted with an optimal unequal power allocation algorithm. V BLAST or ZF receiver is selected for symbol detection and the image is reconstructed by decompression algorithm at the receiver. First of all the image to be transmitted is converted into bits and then headers and markers are added to the obtained bits. These bits are transmitted through the MIMO channel consisting of two transmitting and two receiving antennas. Spatial multiplexing technique is employed. Zero forcing equalization technique is employed at the receiver to get the output bits at the receiver then the reverse process is done to get the output image.
Index Terms— Bit error rate, Image processing, MIMO, Phase shift keying, Interference cancellation.
INTRODUCTION
Multiple-Input Multiple-Output (MIMO) can offer high capacity to wireless systems, and the capacity is increased as the number of bits that are transmitted per second are increased and it keeps on increasing till the number of receiving antennas is greater than equal to the number of transmitting antennas. [1] There are many different schemes that can be applied to the MIMO system, the V-BLAST algorithm has become a potential alternative due to its excellent complexity performance tradeoff besides the complexity performance tradeoff, the V-BLAST algorithm is also considered to be a scheme which effectively exploits the MIMO potentials. This paper aims to exploit the V-BLAST algorithm [2] introduce many ideas regarding coding and design principles for the V-BLAST system, for example, Space-Time Coding reference proposed a low-complexity Zero Forcing (ZF) decoding approach for the V-BLAST Space Time Block Codes (STBC) system. Some V-BLAST systems perform detection and decoding layer by layer in a successive way at the receiver, a low-complexity detector with Successive Interference Cancellation (SIC) is used. The interest is on the bit error rate and performance while using different detection methods. Zero Forcing (ZF) is used as detection algorithms [3]. SIC is introduced instead of joint detection in order to reduce the complexity.