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Applicant:
Indian Institute of Technology (IIT) Patna 
Title:
A Blind Modulation Classification Method For Determining Modulation Format of a Received Signal 
Inventor(s):
Mr. Rahul Gupta, Dr. Sudhan Majhi 
Applicant:
Indian Institute of Technology (IIT) Patna 
Application type:
Applied - 2019-10-31 
Application Number:
201931044144 
Applied at:
India 
Entered by:
Indian Institute of Technology (IIT) Patna 
Abstract:
Blind modulation classification (BMC) is an integralpart of designing an adaptive or intelligent transceiver for futurewireless communications. However, till date, only a few workshave been reported in the literature for BMC of orthogonalfrequency division multiplexing (OFDM) system over frequencyselectivefading environment. In this paper, a BMC methodhas been proposed and implemented over National Instruments (NI) testbed setup for linearly modulated signals of OFDM systemby using discrete Fourier transform (DFT) and normalizedfourth-order cumulant. The proposed BMC method works inthe presence of synchronization errors, i.e., frequency, timing,and phase offsets and without the prior information about thesignal parameters and channel statistics. To nullify the effectof timing offset in the feature extraction process, a statisticalaverage has been taken over OFDM symbols after introducinguniformly distributed random timing offsets in each of the OFDMsymbols. In this work, we have classified a more extensive poolof modulation formats for OFDM signal, i.e., binary phase-shiftkeying (BPSK), quadrature PSK (QPSK), offset QPSK (OQPSK),minimum shift keying (MSK), and 16 quadrature amplitudemodulation (16-QAM). Classification is performed in two stages.At the first stage, a normalized fourth-order cumulant is used onthe DFT of the received OFDM signal to classify OQPSK, MSK,and 16-QAM modulation formats. At the second stage, first wecompute the DFT of the square of the received OFDM signal andthen a normalized fourth-order cumulant is used to classify BPSKand QPSK modulation formats. The success rate of the proposed BMC method is analyzed through Monte Carlo simulations andcompared with existing methods. Finally, the work is validated by providing an experimental setup on NI hardware over anindoor propagation environment. 

 
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