A Parameter Estimation Method of Frequency Hopping Signal Based On Sparse Time-frequency Method

Frequency hopping communication is a common communication method in the field of modern wireless communication countermeasures. Due to the progress of the signal processing in frequency hopping signals, the demand for the estimation of its parameters is also increasing. This paper research on the estimating parameter of frequency hopping signal based on the sparse liner regression of compressed sensing. In addition to the basic sparse analysis, we propose an improved method which combining the algorithm of approximating LO norm and morphological filtering. The simulation of parameter estimation shows that it has a great reduction in estimation error in low SNR to use two improved methods at the same time. And it can reduce about 0.3 in estimation error at-6dB. Also, the estimation error which using the improved method with approximating LO norm and morphological filtering can reach less than 0.003 at-6dB. The experimental results show that the method of processing frequency hopping signals used in this paper can effectively estimate its parameters.