Weak radar signal detection based on wavelet transform

Naoki Ehara, Iwao Sasase, Shinsaku Mori

Research output: Contribution to journalConference article

12 Citations (Scopus)

Abstract

The weak signal detection is a basic and important problem in the radar systems. The detectable range of radar is determined by the radar equation. This equation represents that the performance of radar is improved by increasing the receiver output SNR. For the pnrpose of improving SNR, the process called as "integration of pulses" has been used. In this paper, we propose new metliods based on wavelet transform for the improvement of SNR. The wavelet transform is a tool for time-frequency domain signal analysis and has a sensitivity to the transient signals. By the computer simulations, we show that the receiver output SNR after the wavelet transform becomes about 8dB greater than that of the original signals. This value corresponds to 60 peiceiit improvement of the radar detectable range.

Original languageEnglish
Article number389642
Pages (from-to)II377-II380
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume2
DOIs
Publication statusPublished - 1994 Jan 1
EventProceedings of the 1994 IEEE International Conference on Acoustics, Speech and Signal Processing. Part 2 (of 6) - Adelaide, Aust
Duration: 1994 Apr 191994 Apr 22

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ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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