[Chauhan, 2(1): Jan., 2013] http: // www.ijesrt.com (C) Intern IJESRT INTERNATIONAL JOUR Comparison Of MIM Priyan *1,2 Dept. of Electro This paper proposes a simple an paper described about bit error rate wit the addition of equalizer reduce the bit channel is frequency selective channel. the bit error rate and energy bit to nois are minimum mean square error(MMS Finally simulation of OFDM signals a fading and to obtain optimum value of B Keywords- MIMO system, channel, of Introduction A general problem found in communication is ISI. This paper w OFDM simulation and implementat compare the output result of BPSK technique with OFDM. MIMO stand input and multiple output. It is a sys several anteen as at the transmitter and The combination of MIMO-OFDM is v beneficial since ofdm enables supp anteena and larger bandwidth. equalization in mimo system..MIMO the fading to increase the capacity of Fading of the signal can be mitigate diversity technique. MIMO System The MIMO system transmits differen each transmit element so that the rece array receives a superposition of all t signals. All signals are transmitted from once and the receiver solves a linear eq to demodulate the message. Multiple OFDM) system is an effective solutio communication quality, performance, transmission rate. MIMO-OFDM is u investigation by researchers. In fig. Direct connect from transmitter 1 is connected to receiver antenna 1 is h11 .The indirect connected from, antenna 2 identified as cross componen We consider the system where the trans IS national Journal of Engineering Sciences & Research Te RNAL OF ENGINEERING SCIENCES & RE TECHNOLOGY MO-OFDM System By Using Different Eq nka Chauhan*1, Shri Santosh Sharma2 onic & Communication, MPCT College, Gwalior, Ind id-priyanka.ch2007@yahoo.com Abstract nd efficient method to study the MIMO OFDM using ada th energy bit to noise ratio on MIMO OFDM channel. T error rate and the channel output becomes more pronoun . In this paper we compare the theoretical and simulation se ratio .OFDM is reduce to ISI problem Two of most eq SE) equalizer and maximum likelihood sequence estimatio are carried with Rayleigh faded signal to understand th BER and SNR. fdm, Equalizer ,Adaptive equalizer, high speed will focus on tion and also K modulation ds for multiple stem that uses receiver links. very likely and port of more It simplify O channel uses entire system. e by different nt signals from ceiving antenna the transmitted m all elements quation system exing (MIMO- on to improve capacity, and under intensive Antenna s specified with antenna 1 to nt h21. smitter has n antennas and the receiver has nr be a complex number correspon gain between transmit antenna antenna m. If at a certain tim signals (x1,x2………..xn) are tr antennas, the received signals at expressed as y m =∑ h mn x n +e m where e m is a noise signal. Y m X n is a transmitted signal. h mn is a Fig 1. Block diagram of MI OFDM System OFDM stands for orthogonal multiplexing. OFDM is a combin and multiplexing. Multiplexing r signal those produse by different the question of multiplexing is ap signals but these independent sig one main signals. It is a mult SSN: 2277-9655 echnology[698-670] ESEARCH qualizer dia ptive equalizer. This his paper shows that nced though the total result by comparing qualization algorithm on(MLSE) equalizer he effect of channel antennas. Let hmn , nding to the channel n and the receive me instant complex ransmitted via the nt t antenna m can be is a received signal. a channel response. IMO Y=HX+e frequency division nation of modulation efers to independent t sources. In OFDM pplied to independent gnals are a subset of ticarrier modulation