Subsection-LS Parameter Estimation Method Of FH Signals Based On CS And FSK Recognition

Frequency Hopping Communication System (FHCS) is widely used in military field because of its outstanding anti-jamming capability, the characteristics of low intercept and equipment in communication networking. So in the communication countermeasure, the researches on jamming of FHCS are a hot issue presently. Among many areas of research in jamming, the parameter estimation, FH signal sorting and modulation recognition is extremely important. At present, The wideband frequency hopping communication system have developed faster and faster,which makes the Nyquist sampling technology encounter unprecedented difficulties,but in recent years the emergence of compression perception technology have solved the above problems. In this thesis, my main work is to estimate Parameter of FH signal based on compressed sensing with Subsection-LS method, recognize FSK and finally also preliminary studied the sorting method of FH network station based on compressed sensing.Entire thesis is divided into three key parts.(1) Without any prior information, we can find that a measuring period may contain one part of a hopping frequency period in the wideband case, thus each jump data of frequency hopping signals must go through a lot of compression,so that the complex frequency hopping signal is divided into many simple single frequency signal,namely, Subsection processing method,through analyzing the effects of the ultra-wideband Frequency Hopping signal signals on compressed sensing. In order to reduce the error brought by the segmented processing, the LS algorithm is used in this paper and segmentation-LS parameter estimation method are propose and simulation results demonstrate that the method is effective and efficient.(2)We study FSK recognition of SFH system and FFH system.In SFH system, Frequency offset method was relatively simple; In FFH system, we have proposed FH interval method and the least squares method and reduced the difficulty of identifying FH modulation signal.(3) After signal pre-selected and detection, we can use compressed sensing to obtain parameters of multi hop FH signals, and then combine with the traditional separation method for signal sorting.