Share Email Print

Proceedings Paper

A source number estimation method for single optical fiber sensor
Author(s): Junpeng Hu; Zhiping Huang; Shaojing Su; Yimeng Zhang; Chunwu Liu
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

The single-channel blind source separation (SCBSS) technique makes great significance in many fields, such as optical fiber communication, sensor detection, image processing and so on. It is a wide range application to realize blind source separation (BSS) from a single optical fiber sensor received data. The performance of many BSS algorithms and signal process methods will be worsened with inaccurate source number estimation. Many excellent algorithms have been proposed to deal with the source number estimation in array signal process which consists of multiple sensors, but they can not be applied directly to the single sensor condition. This paper presents a source number estimation method dealing with the single optical fiber sensor received data. By delay process, this paper converts the single sensor received data to multi-dimension form. And the data covariance matrix is constructed. Then the estimation algorithms used in array signal processing can be utilized. The information theoretic criteria (ITC) based methods, presented by AIC and MDL, Gerschgorin’s disk estimation (GDE) are introduced to estimate the source number of the single optical fiber sensor’s received signal. To improve the performance of these estimation methods at low signal noise ratio (SNR), this paper make a smooth process to the data covariance matrix. By the smooth process, the fluctuation and uncertainty of the eigenvalues of the covariance matrix are reduced. Simulation results prove that ITC base methods can not estimate the source number effectively under colored noise. The GDE method, although gets a poor performance at low SNR, but it is able to accurately estimate the number of sources with colored noise. The experiments also show that the proposed method can be applied to estimate the source number of single sensor received data.

Paper Details

Date Published: 8 October 2015
PDF: 7 pages
Proc. SPIE 9679, AOPC 2015: Optical Fiber Sensors and Applications, 96790T (8 October 2015); doi: 10.1117/12.2199696
Show Author Affiliations
Junpeng Hu, National Univ. of Defence Technology (China)
Zhiping Huang, National Univ. of Defence Technology (China)
Shaojing Su, National Univ. of Defence Technology (China)
Yimeng Zhang, National Univ. of Defence Technology (China)
Chunwu Liu, National Univ. of Defence Technology (China)

Published in SPIE Proceedings Vol. 9679:
AOPC 2015: Optical Fiber Sensors and Applications
Yanbiao Liao; Weixu Zhang; Desheng Jiang; Wei Wang; Gilberto Brambilla, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?