This paper is published in Volume-4, Issue-4, 2018
Area
EC
Author
Pratik Singh
Co-authors
Manish Gupta
Org/Univ
Scope College Of Engineering, Bhopal, Madhya Pradesh, India
Pub. Date
27 July, 2018
Paper ID
V4I4-1376
Publisher
Keywords
LTE, MIMO, OFDM, Cyclic prefix, Zero padding, LS, LMMSE, Lr LMMSE, PSO

Citationsacebook

IEEE
Pratik Singh, Manish Gupta. Enhancement SNR for OFDM systems by using PSO algorithm, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Pratik Singh, Manish Gupta (2018). Enhancement SNR for OFDM systems by using PSO algorithm. International Journal of Advance Research, Ideas and Innovations in Technology, 4(4) www.IJARIIT.com.

MLA
Pratik Singh, Manish Gupta. "Enhancement SNR for OFDM systems by using PSO algorithm." International Journal of Advance Research, Ideas and Innovations in Technology 4.4 (2018). www.IJARIIT.com.

Abstract

This dissertation deals with the channel estimation techniques for orthogonal frequency division multiplexing (OFDM) PSO systems such as in IEEE 802.11. Although there has been a great amount of research in this area, characterization of typical wireless indoor environments and design of channel estimation schemes that are both robust and practical for such channel conditions have not been thoroughly investigated. It is well known that the minimum mean-square-error (MMSE) estimator provides the best mean-square-error (MSE) performance given a priori knowledge of channel statistics and operating signal-to-noise ratio (SNR). However, the channel statistics are usually unknown and the MMSE estimator has too much computational complexity to be realized in practical systems. In this work, we propose two simple channel estimation techniques: one that is based on modifying the channel correlation matrix from the MMSE estimator and the other one with averaging window based on the LS estimates. We also study the characteristics of several realistic indoor channel models that are of potential use for wireless local area networks (LANs). The first method, namely MMSE-exponential-Rhh, does not depend heavily on the channel statistics and yet offer performance improvement compared to that of the LS estimator. The simulation results also show that the second method, namely averaging window (AW) estimator, provides the best performance at moderate SNR range.