Proceeding of

2nd Int. Conf. on Recent Trends & Research in Engineering and Science

(ICRTRES-2016)

28-29 February, 2016

 

Organized By

Padm. Dr. V. B. Kolte College of Engineering & Polytechnic, Malkapur

In Association

With

INDIAN INSTITUTE OF INDUSTRIAL ENGINEERING, MUMBAI (IIIE)

 

as

A Special Issue of

International Journal of Computer Science and Applications

(ISSN:0974-1011)

Conference Convener

 Prof. Nitin A. Kharche

(Program Convener)

Mobile: 09766935198

 

Prof. Bharat K. Chaudhari

(Program Convener)

Mobile: 08380075944

 

 

Editor

Prof. K. H. Walse

 

Research Publications, India

 

 

   
 
 
 
IJCSA ISSN: 0974-1011 (Online) >>    
Title:

A Review on Modified Leaky Least Mean Square Algorithm for Channel Estimation in Noisy Environment Using MIMO-OFDM System

Author:

Deepali S. Muley, Prof. Kunal Patil and Prof. S.D.Lavange

 

Abstract

Orthogonal Frequency Division Multiplexing (OFDM) is sure to be implemented in future broadcasting instead Wireless Local Area Network (WLAN) systems robustness in transmitting a high data rate. The performance is calculated in terms of Bit Error Rate (BER) and the Signal to Noise Ratio (i.e.SNR). Differential m-array phase shift keying modulation technique such as differential quadrature phase shift keying in additive white Gaussian noise channel and multilevel technique in quadrature amplitude modulation in flat Rayleigh  channel have been implemented in the proposed MIMO-OFDMsystem. MIMO with OFDM can provide truly efficient and ISI rectified communication. A simple adaptive least mean square (LMS) type channel estimation is experienced through some modification of FIR Wiener filtering. A condition which guarantees the convergence of the algorithm and the mean square error (MSE) values are derived. The performance of these channel estimation a technique in real    time    validates    the    analysis    when compared    to    that    of    simulated    channel estimation techniques. The objective of this paper is to reduce the BER and improve the SNR, BPSK and QPSK modulations are used for analysis purposes.



2016 International Journal of Computer Science and Applications 

Published by Research Publications, India