Channel Estimation Technique Based on Compressed Sensing

The traditional channel estimation method in the communication system is based on the multipath channel intensive assume, lead to the spectrum utilization is low, compressed sensing theory provides a new way to solve this problem. The basic theory of compressed sensing is introduced, the feasibility of compressed sensing applied to channel estimation is explored, a detailed analysis several reconstruction algorithm of the compressed sensing channel estimation technologies: MP algorithm, OMP algorithm, CoSaMP. Studies have shown that fewer pilot signal channel estimation method based on compressed sensing theory to achieve the estimated performance comparable to traditional methods, thus improving spectrum efficiency.