Two-way relay channel estimation based on compressive sensing

A method of two-way relay sparse channel estimation based on compressive sensing (CS) is designed. We specifically introduce the orthogonal matching pursuit (OMP) algorithm to reconstruct the channel impulse response of orthogonal frequency division multiplexing (OFDM) system. The introduced method can fully exploit the potential sparsity of two-way relay channels (TWRC). By contrast to traditional linear estimation methods, the introduced method needs much less training sequences under the same estimation performance, thus improving the utilization of communication resources such as spectrum and energy effectively. At the same time, the computational efficiency of the introduced method is always higher than traditional methods as its computational complexity mainly relies on the sparse degree of multipath channels. Simulation results confirm the introduced method.