Compressed sensing based low-complexity moible radio OFDM systems with pre-equalization

Over the last few years, the increasing power consumption on mobile terminal has been popularly followed with researchers´ interest. However, in order to improve the data rate and keep robust communication, the increasing complexity on both algorithms and system structures makes the power problem more serious. In this paper, we provide a low-complexity mobile radio system structure for Orthogonal Frequency Division Multiplexing (OFDM) that eliminates the channel estimation and equalization processing instead of compressed sensing (CS) based pre-equalization. Exploiting the feedback of repeated pilot signal, we recover the channel state information at the transmitter and previously distort the source signal to resist the multipath interference. Simulation shows that the low-complexity wireless system has the similar performance.