PREAMBLE DETECTION IN WIMAX 802.16E USING OFDM WITH DIFFERENT CORRELATION METHOD SC, GM, MMSC AND ML

Abstract

To meet out the high spectral efficiency and high data rate, an efficient modulation scheme is to be employed. The Wireless communication systems can be found all around the world today. WiMAX which represents World Interoperability for Microwave Access is a major part of broadband wireless network having IEEE 803.16 standard provides innovative fixed as well as mobile platform for broadband internet access anywhere in anytime. WiMAX works on high data rate and it is a wireless technique so fading and attenuation in the signals is presence due to noise, inter symbol interference, inter carrier interference etc. OFDM modulation technique is used to work on multicarrier. OFDM works on orthogonality so presence of ISI is neglected. In this paper implement different convolution methods for detection of preamble. These methods comparative analysis is done by apply different lag factor and integration length. These methods are Schmidl and Cox maximum normalized correlation (SC), maximum normalized correlation using a geometric mean (GM), minimum mean squared error (MMSE), maximum likelihood (ML). Maximum Likelihood (ML) method is better than the other is shown by the results.In this preamble detection method we used communication channel AWGN channel, also used modulation techniques QAM with OFDM. The performance has been concluded based Sample versus Detection value and output through MATLAB-R3013a Simulation