For providing high data-rate offerings over wireless channels, Multiple Input Multiple Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) gadget had been proposed in the latest beyond. This gadget affords the advantages of space-time coding and OFDM, when its miles mixed with area time coding. The MIMO-OFDM gadget also suffers from the excessive peak-to-average power ratio (PAPR) trouble. This happens due to the inter-symbol interference between the subcarriers of the communiqué system. Through the use of clipping and filtering the entire look for the number of sub-blocks and the rotation elements should be done, if you want to achieve top-rated PAPR discount. As the number of sub-blocks and rotation factors will increase, PAPR reduction improves. Because the quantity of sub-blocks will increase, the range of calculation additionally will increase. This case ends in growth the complexity exponentially which ends up inside the technique put off. PAPR reduction is collectively optimized in both the real and imaginary element by means of the use of Fast Fourier Transform (FFT) algorithm inside the modified Clipping and filtering scheme. In this work, a modified clipping and filtering approach is offered. This approach is combined with interleaving for PAPR reduction using Quadrature Phase Shift Keying Modulation (QPSK). The main objective of this technique is to keep away from the usage of any greater IFFTs and enhance PAPR reduction. Cumulative Distribution feature (CDF) of PAPR has been taken as an output parameter. The value of this parameter is plotted with respect to PAPR for present and modified techniques. MATLAB R2013a has been used as an implementation platform. Generalized MATLAB toolbox and wireless communication Toolbox has been used for implementation.