Journal of System Simulation ›› 2016, Vol. 28 ›› Issue (5): 997-1002.

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Method for Modulation Recognition of Radar Signals in Complex Environment

Jiang Li1,2, Zhao Guoqing1, Li Lin1   

  1. 1. School of Electronic Engineering, Xidian University, Xi'an 710071, China;
    2. School of Information and Control Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China
  • Received:2014-12-30 Revised:2015-03-04 Published:2020-07-03

Abstract: As the increasing application of intra-pulse modulations, modulation recognition of radar signals becomes difficult in radar reconnaissance systems. Usually, there are multipath interferences along with the intercepted signal. The conventional methods become slowdown because of the multipath interferences. Aiming at radar signals in multipath channel, a feature extraction method was proposed based on higher order ambiguity function (AF) and singular vector decomposition, adopting the linear support vector machine (SVM) classifier to determine the types of the intercepted radar signals. Theoretical analysis and simulation results show that the proposed method has good ability to suppress the influence of multipath interferences and good accurate rate at low signal to noise ratios.

Key words: radar signal, modulation recognition, multipath channel, higher order time-frequency distribution

CLC Number: