Investigating mapping technique over statistical parameter under noisy channel for wireless communication

Author

Mahor, Devesh ; Yadav, Kamlesh Kumar

Author_Institution

Commun. Syst., NIT Surat, Surat, India

fYear

2014

fDate

25-26 Sept. 2014

Firstpage

391

Lastpage

395

Abstract

Automatic modulation recognition of communication signals is an influential theme of wireless communication. To recognize digital modulation techniques in presence of AWGN for different values of SNR is the focusing element of the paper. Various features can be learn and understand in simulation. Mapping techniques for OFDM are simulated using MATLAB toolbox SIMULINK. Bit error rate of different modulation techniques is implemented for corresponding SNR. Models are analyzed for wireless parameter like kurtosis of normalized signal along with a new statistical method to recognize OFDM from other digitally modulated signals.

Keywords

AWGN channels; OFDM modulation; error statistics; statistical analysis; wireless channels; AWGN; MATLAB toolbox; OFDM; SIMULINK; SNR; additive white Gaussian noise; automatic modulation recognition; bit error rate; communication signals; digital modulation techniques; mapping technique; noisy channel; normalized signal kurtosis; orthogonal frequency division multiplexing; statistical method; statistical parameter; wireless communication; wireless parameter; Bit error rate; Frequency shift keying; OFDM; Quadrature amplitude modulation; Signal to noise ratio; AWGN (Additive white Gaussian Noise); BER (Bit Error Rate); Kurtosis; OFDM (Orthogonal Frequency Division Multiplexing);

fLanguage

English

Publisher

ieee

Conference_Titel

Confluence The Next Generation Information Technology Summit (Confluence), 2014 5th International Conference -

Conference_Location

Noida

Print_ISBN

978-1-4799-4237-4

Type

conf

DOI

10.1109/CONFLUENCE.2014.6949315

Filename

6949315