作者: Steve Shattil
DOI:
关键词: Precoding 、 MIMO-OFDM 、 Reduction (complexity) 、 Algorithm 、 Matrix (mathematics) 、 Computer science 、 Orthogonal frequency-division multiplexing 、 Signal 、 MIMO 、 Invertible matrix
摘要: Low-complexity computational processing provides a set of selective mapping weights for reducing peak-to-average-power ratio (PAPR) in transmitted Multiple Input, Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) signals. A MIMO precoder and invertible transform generates base discrete-time MIMO-OFDM signal from data symbols precoding weights. matrix multiplier multiplies the with sparse update weight matrix, resulting product is MIMO-precoded modulated onto an OFDM to produce signal. linear combiner sums updated which PAPR can be measured.