Performance Analysis of SLM Techniques for PAPR Reduction in ALAMOUTI MIMO-OFDM System

Multi-Input Multi-Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) with SpaceFrequency Block Coding (SFBC) is widely used as a promising technique for next generation broadband wireless applications. As encountered for multicarrier systems, a major challenge of SFBC MIMO-OFDM transmission systems is the problem of high peak-to-average power ratio (PAPR), which leads to severe distortion at the output of power amplifier. To overcome this problem, a variety of PAPR reduction methods for OFDM systems have been presented. The techniques for reducing the PAPR are clipping and filtering, Selective Linear Mapping (SLM), and Partial Transmit Sequences (PTS). In this SLM is the most effective reduction of PAPR without distorting OFDM signals. SLM techniques are Conventional SLM (C-SLM) and it requires transmitting Side Information (SI) for signal recovery at the receiver, resulting in the degradation of bit error rate (BER). Blind SLM (B-SLM) method is proposed for increasing the data rate. Based on analysis and comparison of SLM improvements, DSLM algorithm is proposed to reduce the PAPR effectively with less number of computations which increases data rate.