Data Detection of Blind Selective Mapping Using Soft Output Viterbi Algorithm (SOVA)

Orthogonal frequency-division multiplexing (OFDM) is a well-known multiplexing modulation scheme and is widely used in telecommunication applications due to its huge advantages. Unfortunately, OFDM also possesses a huge drawback which is high peak-to-average power ratio (PAPR) that can affect the system badly. Selective mapping (SLM) is one of the most reliable reduction techniques but it requires the transmission of side information to the receiver which can reduce the quality of the signal transmission. In this paper, soft output Viterbi algorithm (SOVA) was proposed as blind estimation and compared to the other estimation method. SOVA has proven to provide the best bit error rate (BER) performance when compared to the other methods.