The Detection And Parameter Estimation Of Hopping Frequenct Signals Based On Compressed Sensing

With the development of military communication technology,the bandwidth of frequency hopping signals become wider and wider, at the same time the carrier frequencies become higher and higher.So when we intercept the frequency hopping signals we must consider severe problems: high sampling rate, large data to storge and process. There are a lot of flaws for traditional detection and parameter estmation methods for frequency hopping signals which all base on the Nyquist sampling. In the recent years, the new theory of compressed sensing allows wideband signals to be sampled at a rate which is much closer to the rate of the information. This rate is much lower than the Nyquist rate required by Shannon’s sampling theory.In this thesis, we are engaged in the work above. We detailed analysis of the application of compressed sensing to detect and estimate for frequency hopping signals.The contributions of this thesis include:(1).Based on the modulated wideband converter(MWC),we completed the Sub-Nyquist sampling of non-cooperative wideband frequency hopping signals, including the sparse representation of frequency hopping signals,sub-Nyquist sampling system, reconstruction system.Then we proposed a new modulated wideband converter based on band-pass sampling when the sampling signals are band-pass signals.At last, we analyze the impact of the choice of parameters on system.(2).Based on the Sub-Nyquist sampling sequences which obtained by the original signals, we proposed the compressed detection and estimation with application to non-cooperative wideband frequency hopping signals.In addition to apply a kind of subspace projection algorithm to inhibit the fixed frequency signals, which provides a new train of thought.