A Novel Signal Detection Algorithm for a Wide Band Detection-Finding System in the HF Band

DOI

10.2991/iccsee.2013.124How to use a DOI?

Keywords

projection transform, noise characteristics, N-P criterion, signal detection, HF wide band DF,

Abstract

This article describes a novel multi-dimension combination signal detection algorithm based on the space-frequency-energy domain for the raw data derived from high frequency (HF) wide band direction-finding (DF) systems. According to the HF wide band DF data, the time-frequency-power spectrum and its corresponding azimuth information are first transformed into azimuth-frequency-energy spectrum of DF data along the time axis; then the noise characteristics of azimuth-frequency-energy spectrum are analyzed and the detection threshold is achieved by the Neyman-Pearson (N-P) criterion at one certain false alarm probability (PFA ); finally the signals are detected by comparing the energy of every azimuth-frequency point with the detection threshold. Through simulation and raw data validation, this algorithm can detect the weak signals of HF wide band DF data.

Copyright

© 2013, 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/).

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TY  - CONF
AU  - Qin Shi
AU  - Jin-yu Xiong
AU  - Hua-feng Peng
AU  - Lai-yuan Luo
PY  - 2013/03
DA  - 2013/03
TI  - A Novel Signal Detection Algorithm for a Wide Band Detection-Finding System in the HF Band
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 484
EP  - 489
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.124
DO  - 10.2991/iccsee.2013.124
ID  - Shi2013/03
ER  -