IMAGE TRANSMISSION THROUGH OFDM & COGNITIVE RADIO CHANNEL FOR NOISE ESTIMATION & WAVELET TRANSFORM ANALYSIS
Author(s):
KONATHAM LAKSHMANABABU YADAV, SUNKARA.MURAHARI, B.V.REDDY
Keywords:
Matrix Laboratory (MATLAB),Orthogonal frequency division multiplexing(OFDM), Bit Error Rate (BER),Phase shift keying(PSK),additive white Gaussian noise (AWGN).Inter-symbol interference(ISI). Frequency Division Multiple Access (FDMA),Peak Signal to Noise Ratio (PSNR).
Abstract
In Communication Channel many applications are implemented on Data (Text, Image, Audio and Video) Transmission on Packetization Process. In FDMA, implemention on Audio and Video Transmission Process is done. In an OFDM system, due to channel fading, only a sub set of carriers are usable for successful data (Image) transmission. If the channel state information is available at the Transmitter, it is possible to take a proactive decision of mapping the descriptions optimally onto the good subcarriers and discard at the transmitter itself the remaining descriptions, which would have been otherwise dropped at the receiver due to unacceptable high channel errors. In Our Project; we are presenting an energy saving approach to transmission of discrete wavelet transformation based compressed image frames over the OFDM channels. Based on one-bit channel state information at the transmitter, the descriptions in order of descending priority is assigned to the currently good channels. In order to reduce the system power consumption, the mapped descriptions onto the bad sub channels are dropped at the transmitter. In Our Project We are implementing on Image transmission on OFDM Channel through Packetization on Successful Data Transmission with More Energy Saving. In this Project we implement on Different Modulation and Different Channel SNR ratio on Energy Saving calculated for maximum level of 16 PSK Modulation on 38 % Energy Saved with 51% PSNR Quality measurement on MATLAB Simulation Results.
Article Details
Unique Paper ID: 145328

Publication Volume & Issue: Volume 4, Issue 9

Page(s): 97 - 102
Article Preview & Download




Go To Issue



Call For Paper

Volume 5 Issue 2

Last Date 25 July 2018


About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Contact Details

Telephone:704 821 9842/43
Email: editor@ijirt.org
Website: ijirt.org