matlab code on dwt based mimo ofdm
#1

dear sir , i am studing BE in kongu engineering college .i have to do the prjct on DWT based MIMO-OFDM to improve the bit error rate .i want to know the steps .pls give some steps and matlab code for mimo ofdm.
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#2
The promulgation of ripple (also called as wavelet) based on multiple MIMO OFDM systems and also compare with the performance of MIMO FFT based on OFDM. Wavelet-based OFDM has many advantages compared to FFT-based OFDM. There is no need for cyclic prefix, flexibility and optimal resolution. Wavelets want to existed properly in almost absolutely the scopes of wireless communication systems with OFDM which is a durable candidate for the next wireless schema mates. This is the third generation of partnership project networks (3GPP). The simulation of the scan will be jumble-selling to simulate the double-carrier schemes, DWT with mother-built Haar multicarrier in addition to the predicted OFDM, less consequence of the multiple-antenna array scheme, by BPSK also QPSK as double modulation schemes White Gaussian Noise Additive Channel (AWGN). Established in the presentation of the bit error rate to the transmission capacity, the multi-carrier scheme built by DWT was set to be higher than the predicted OFDM scheme.

Multiple Multiple Input Multiplexing (MIMO) and Orthogonal Frequency Division Multiplexing (OFDM) are two technologies combined to provide the spectral efficiency and high data rate required for 4G wireless systems. The Discrete Wavelet Transformation (DWT) is presented as an alternative to the Fast Fourier Transform FFT since there is no need for a Cyclic Prefix (CP) because of the DWT overlay properties. By simply replacing the FFT with DWT in the MIMO OFDM system, a performance enhancement has been detected leading to a new scenario of the MIMO OFDM-based DWT system. In this work, a system of this type is simulated and the operational bit error rate (BER) is analyzed to determine the different types of wavelets in different channel conditions with different modulations (QAM 4, 16, 64) and techniques Such as Zero Forcing (ZF), minimum mean square error (MMSE) and maximum likelihood (ML).
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