Parameterless self organizing map for improving OFDM system performance

Author

Rathkanthiwar, Shubhangi ; Dethe, Chandrashekhar ; Dakhole, Pravin ; Kulat, Kishore

Author_Institution

Yeshwantrao Chavan Coll. of Eng., Nagpur, India

fYear

2011

Firstpage

114

Lastpage

119

Abstract

This paper presents a new adaptive neural approach to improve the system performance of an Orthogonal Frequency Division Multiplexing (OFDM) based receiver structure. Peak to average power ratio (PAPR) of an OFDM signal is very large. When such a signal passes through high power amplifier, the signal gets nonlinearly distorted. This causes bit error rate (BER) degradation of the OFDM system and also results in spectral regrowth. Multipath fading effects also deteriorate the signal to high extent. Our proposed system takes care of both these factors and thus improves overall performance of the system.

Keywords

OFDM modulation; error statistics; multipath channels; nonlinear distortion; power amplifiers; radio receivers; self-organising feature maps; spectral analysis; wireless LAN; BER degradation; OFDM based receiver structure; OFDM signal; OFDM system performance; PAPR; adaptive neural approach; bit error rate degradation; multipath fading effects; nonlinearly distorted signal; orthogonal frequency division multiplexing; overall system performance; parameterless self organizing map; peak to average power ratio; power amplifier; spectral regrowth; Bit error rate; Mathematical model; Nonlinear distortion; Peak to average power ratio; Receivers; Rician channels; Intelligent system; OFDM; Wireless Communication; Wireless LAN;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial and Information Systems (ICIIS), 2011 6th IEEE International Conference on

Conference_Location

Kandy

Print_ISBN

978-1-4577-0032-3

Type

conf

DOI

10.1109/ICIINFS.2011.6038051

Filename

6038051