Design and Performance of LTE 3GPP Baseband Transceiver Based Wavelet Signals for Different Channel Estimation Algorithms

Long Term Evolution (LTE) 3GPP advanced is a mobile communication standard. It was formally submitted as a candidate 4G system. This paper refers to channel estimation based on time-domain channel statistics. Using a general model for Stanford University Interim (SUI) channel models, the aim of the paper is to find out the most suitable channel estimation algorithms for the modified Long Term Evolution (LTE) 3GPP baseband transceiver based wavelet signals and improvement the bit error rate for this system. Starting with the analysis of channel estimation algorithms, we present the Minimum Mean Square Error (MMSE (and Least Square (LS (estimators and compromising between performances under different channel scenarios. The bit error rate for a 16-QAM and OFDM system based wavelet signals is presented by methods of Matlab simulation results. Keywords: LTE 3GPP, DWT, SUI, OFDM, MMSE, LS, 16-QAM