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Research of Time-frequency Analysis Methods on the Identification of Radar Signal

Author: XuYiHua
Tutor: LiuYu
School: Nanjing University of Aeronautics and Astronautics
Course: Signal and Information Processing
Keywords: Time-frequency analysis Instantaneous frequency curve Feature extraction Signal classified recognition FSK signal recognition SNR estimation
CLC: TN957.51
Type: Master's thesis
Year: 2009
Downloads: 84
Quote: 1
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Abstract


The different ways of signal modulation is manifested by the phase function of the type of form , the first order derivative of the instantaneous signal phase function of time can be obtained when the frequency curves . In this paper , a simple phase in the previous expand algorithm based on access to the instantaneous frequency of the signal curve , and then according to the time of each signal frequency characteristics to be identified . Instantaneous frequency curve for the conventional signal , linear FM signal , the bilinear FM signal , and multi- linear FM signal manifested as a linear function of characteristics , polynomial FM signal showed a parabolic curve , so the curve fitting method first to the above four signals to be identified. The instantaneous frequency curve for the phase-encoding signal is centered around a constant value of the upper and lower transition , the transition position is the phase of the signal transition position . Phase unwrapping algorithm for phase encoding signal instantaneous frequency curve by simulation studies , kurtosis obvious difference from other signals , phase the further subdivided identification of the coded signal to provide the correct premise . Time-frequency characteristics of the FSK signal phase unwrapping algorithm performance with significantly different amplitude square wave envelope , and thus multiple differential phase encoding signal instantaneous frequency curve , the same kurtosis also obtained the classification of the FSK signal recognition feature . The article also raised its subdivision recognition method according to the coefficient of variation of the instantaneous frequency of the FSK signal envelope curve . Addition of the signal-to-noise ratio is estimated to have done detailed summary , more discussion of the advantages and disadvantages of each method and its real - time feasible . Based on the time-frequency analysis by a large number of simulation experiments , in radar signal recognition method is feasible and effective , but also has good performance .

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CLC: > Industrial Technology > Radio electronics, telecommunications technology > Radar > Radar equipment,radar > Radar receiving equipment > Radar signal detection and processing
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