Design And Implementation Of Blind Processing System Of Frequency Hopping Signals Based On Compressed Sensing

With the advent of the information age, communication technology achieves rapid development. The characteristic of high frequency carrier and large bandwidth of frequency hopping communications determine high sampling rate. Huge amounts of data resulting from the high sampling rate will tremendously increase the pressure of data storage, processing and transmission. Compressed sensing is the recent rise technology of the signal acquisition and processing. The biggest advantage of compressed sensing is the ability to save time and space needed for conventional signal processing. The efficiency of signal processing is greatly enhanced by sampling useful information. Hopping signals have good sparsity in the frequency domain, which matches the prerequisite of the application of compressed sensing. At present, the processing technology of hopping signals based on compressed sensing has been researched by domestic and foreign researchers, but a complete hopping signals processing system based on compressed sensing has not been raised.Using the technology of compressed sensing in the frequency-hopping signal is the main work of this thesis, as well as the design and implementation of blind processing system of frequency hopping signals based on compressed sensing. The system is modularized around the whole system functions in the foundation of the signal processing theory based on compressed sensing. Hopping signals are generated by the source module based on the input parameters; The source signals are segmented to segments and a measurement matrix is generated by the compressed sampling module, then the measurement matrix is outputted; Signal detection module detects the target hopping signals based on the measured values and updates the measurement matrix. The approach based on redundant atom dictionary is used by parameter estimation module to estimate the hopping frequency, the hopping speed and the first hopping time. OMP greedy algorithm is used to reconstruct the original signal by segments. The modules are combined as a system after the design of the functional modules according to the system architecture. Then the system is simulated and impacts of the input parameters on the system performance are analyzed. The system has characteristics of stable, efficiency and easily expansion as a result of test.