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Study of Methords of Frequency-Hopping Signal Estimation Based on Time-Frequency Analysis

Author: GaoRuiTao
Tutor: JiHongBing
School: Xi'an University of Electronic Science and Technology
Course: Signal and Information Processing
Keywords: Hopping parameter estimates Time-frequency analysis Smoothed Pseudo Wigner-Ville distribution S transform
CLC: TN914.41
Type: Master's thesis
Year: 2011
Downloads: 93
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Abstract


Spread spectrum frequency hopping spread spectrum communication, because of its strong anti-interference, low probability of intercept and excellent networking capability, has been widely applied in the field of military communications, presented a serious challenge to the communication confrontation. Communication confrontation hopping unknown parameters of the hopping signal detection and information extraction becomes very difficult, and therefore seek hopping signal intercept, identify and Blind Parameter Estimation methods become in today's communication confrontation The problems to be solved. In this paper, in time-frequency analysis framework for blind estimation of frequency hopping signal parameters specific work as follows: the conventional time-frequency analysis method for the blind estimation of frequency hopping signal parameters. To STFT Hartley fast algorithm for computing speed improved performance, performing parameter estimation, need to be known a priori condition to determine the appropriate window length, and time-frequency resolution single ; Morlet wavelet transform multiscale transform requirements to meet frequency hopping signal multi-component transformation affected by noise in low signal-to-noise ratio can not make accurate estimates of the parameters; SPWVD parameter estimation performance is very good, but a huge amount of computation, unable to meet the needs of real-time parameter estimation. The problems of the above time-frequency analysis method, the introduction of the S transform proposed hopping parameter estimation method based on S transform. The problem of taking into account the time-frequency ridge lines are susceptible to noise interference in the signal at the high-frequency component, combined with noise S spectrum within the statistical characteristics, proposed in the indirect method of the time-frequency domain bandpass filtering on the time-frequency ridge smoothing, in order to reduce noise and its impact. Comparisons through experiments, improved time-frequency ridge in a higher signal-to-noise ratio environment parameter estimation performance greatly improved. S conversion itself, the existence of window width varies with frequency trends too rapidly, there is proposed an improved method of a window function. This method does not affect the characteristics of the S transform based on the window function added to slow the trend parameter (?) (F). (?) (F) In order to improve the control effect parameters, defined definition domain, range and monotonicity given (?) (F) to meet the definition of a set of curves. The experimental results show that this method is compared to all of the above methods are greatly improved in parameter estimation accuracy. The same time, the improvement only for the windows wide trend, the small amount of additional computing, computational complexity S transform quite.

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CLC: > Industrial Technology > Radio electronics, telecommunications technology > Communicate > Communication systems ( transmission system) > Frequency hopping spread spectrum communication system > Frequency hopping communication
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