Parameter estimation of multi Frequency Hopping signals based on compressive spatial time-frequency joint analysis

In order to estimate the parameters of multi Frequency-Hopping(FH) signals in the condition of non-cooperation and overcome the bottleneck of huge data processing, a parameter estimation method based on compressive spatial time-frequency joint analysis is proposed. First the arbitrary compressive array structure is analyzed, then based on this structure we propose a method to estimate the direction of arrivals (DOAs) with only a small number compressive samplings by exploiting the spatial sparsity of multi FH signlas. Then by exploiting the sparsity in frequency domain, a spectrogram estimation algorithm is proposed by using the same compressive sampling. Simulation results show that this algorithm can effectively estimate multi Frequency-Hopping signals´ DOAs and specrtograms with a tiny samplings. This algorithm is lower in computation complexity, and can be very practical in real-time Frequency-Hopping signal processing.