A radar echo signal detection algorithm in low signal-to-noise ratio

DOI

10.2991/icmemtc-16.2016.67How to use a DOI?

Keywords

Fractional Fourier transform; LFM; Signal detection; SNR

Abstract

According to the problem of radar echo signal detection in the low signal-to-noise rate, an improved detection algorithm of fractional Fourier transform detect signal after wavelet filtering is proposed. Because of the low detection performance of fractional Fourier transform in the low signal-to-noise rate as well as considering the non-stationary and time-varying features of the radar echo signals, wavelet denosing method is introduced to preprocess echo signal and improve the radar echo signals signal-to-noise rate. Then Fractional Fourier Transform detected the target preferably. Fractional Fourier Transform has special accumulating quality for LFM signal. The results of the simulations show that corresponding algorithm proposed in this article is superior to the fractional Fourier transform algorithm.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Xiangju Li
PY  - 2016/04
DA  - 2016/04
TI  - A radar echo signal detection algorithm in low signal-to-noise ratio
BT  - Proceedings of the 2016 3rd International Conference on Materials Engineering, Manufacturing Technology and Control
PB  - Atlantis Press
SP  - 349
EP  - 353
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmemtc-16.2016.67
DO  - 10.2991/icmemtc-16.2016.67
ID  - Li2016/04
ER  -