Method for Modulation Recognition of Radar Signals in Complex Environment

Authors

Jiang Li, 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;
Guoqing Zhao, 1. School of Electronic Engineering, Xidian University, Xi'an 710071, China;;
Li Lin, 1. School of Electronic Engineering, Xidian University, Xi'an 710071, China;;

Abstract

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.

Recommended Citation

Li, Jiang; Zhao, Guoqing; and Lin, Li (2020) "Method for Modulation Recognition of Radar Signals in Complex Environment," Journal of System Simulation: Vol. 28: Iss. 5, Article 1.
Available at: https://dc-china-simulation.researchcommons.org/journal/vol28/iss5/1

First Page

997

Revised Date

2015-03-04

DOI Link

https://doi.org/

Last Page

1002

CLC

TN971

Recommended Citation

Jiang Li, Zhao Guoqing, Li Lin. Method for Modulation Recognition of Radar Signals in Complex Environment[J]. Journal of System Simulation, 2016, 28(5): 997-1002.