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A Recognition Method of Radar Operation Modes Based on TimeDomain Fuzzy Decision Fusion
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TN97

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    Abstract:

    Aimed at the problems that in radar operation modes recognition, the errors measured of radar signal parameters of reconnaissance equipment seriously affect recognition effect, a timedomain fuzzy decision fusion (TFDF) recognition algorithm is proposed. Firstly, the characteristics of radar pulse group are analyzed and radar signal pulse group description (PGDW) words at the level of pulse group are extracted. Then, the traditional hard decision of neural network is improved based on the combined membership function, realizing fuzzy decision of radar signal. Finally, the DS evidence theory is used to fuse the fuzzy decision results of multiple moments in time domain, so as to complete the radar operation modes final recognition. The influence of recognition effect because of parameters measure error in radar operation modes recognition is improved based on the method timedomain fuzzy decision fusion. The simulation results and contrast experiment show that the method is good at antinoise performance, 90 percent of the recognition accuracy remains when the parameter errors of measurement are 15%.

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  • Received:
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  • Online: December 28,2018
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