Hopping Signal Parameter Estimation Algorithm And Realization

Frequency-Hopping(FH) is one of spread spectrum communication technique, which has good immunity against interferences and inherent security features. It is playing an important role in various kinds of communication, commanding, controlling and information systems. Researching the surveillance, interception and classification methods for FH signals has been a dificult and pressing task in communication countermeasure fields.At present, many people have made much beneficial explorations in this domain, proposed many Frequency-Hopping parameter estimation algorithms. Most of them has the establishment above the foundation FFT algorithm, the Morlet wavelet algorithm, the WVD algorithm, estimating the Frequency-Hopping signal hopping time and hopping period by autocorrelation and so on.However, these methods can only work in the condition of knowing the partial frequencies-hopping parameters.It is still unable to achieve the trueblind estimation.A new method for fast estimating the parameters of unknown frequency-hopping signals based on FFT and Morlet Wavelet Transform is proposed. Using this method, the parameter of frequency-hopping signals such as hop duration(hop epoch), hop timing(hop point)and hopping frequencie(hopping table)can be fast estimated without knowing any a priori knowledge. Simulation results demonstrate that the new fast estimation algorithm is more effective and efficient than the other current algorithm.In Chapter1, first we show Researching on FH communication countermeasure fields is an important task because of the wide use of FH communication systems. Then we briefly introduce our work in this paper.In Chapter2 we concern the construction and feature of FH system.In Chapter3,we use FFT, WVD and Morlet Wavewat to estimate the FH parameters.In Chapter4,we propose a new method based on FFT and Morlet Wavelet Transform.In Chapter5,we discuss the improvement based on the current hardware platform.