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A Novel Radar Detection Approach Based on Hybrid Time-Frequency Analysis and Adaptive Threshold Selection

  • Zhilu Wu
  • Zhutian Yang
  • Zhendong Yin
  • Taifan Quan
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 214)

Abstract

Due to the increasing complexity of electromagnetic signals, there exists a significant challenge for radar signal detection. In this paper, a novel radar detection approach based on time-frequency distribution (TFD) is proposed. Exploiting the complementation of linear TFD and bilinear TFD approaches, the cross terms of Wigner-Ville distribution (WVD) are suppressed. By using an optimal threshold selected adaptively, the regions of WVD auto terms are determined exactly. And the multicomponent radar signals can be detected efficiently. Simulation results show that this approach can efficiently detect not only linear frequency modulation (LFM) signals, but also normal signals and phase modulation (BPSK and QPSK) signals.

Keywords

WVD Spectrogram Adaptive threshold selection Auto term 

Notes

Acknowledgments

This work was supported by a grant from National Natural Science Foundation of China (grant number: 61102084).

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Zhilu Wu
    • 1
  • Zhutian Yang
    • 1
  • Zhendong Yin
    • 1
  • Taifan Quan
    • 1
  1. 1.School of Electronics and Information TechnologyHarbin Institute of TechnologyHarbinChina

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