Overcomplete dictionary based denoising and signal detection for drilling fluid pulse communication

The drilling fluid pulse communication is a very popular technique in the measurement while drilling (MWD) field, because it has the simpler architecture compared to the continuous pressure ware systems. A noise suppression method for signal detection method based on the over complete dictionary is proposed in this paper. Considering the characteristics of the drilling fluid pulse signals, the theory of the sparse representation of those low duty cycle and spike-like pulses is adopted. Then guidelines to build different over complete dictionaries for signals are presented. Simulation results show that the PPM signals of drilling fluid pulse systems can be detected directly, and the AWGN noise can be reduced significantly by the proposed approach.