Application of underdetermined blind source separation in ultra-wideband communication signals

doi:10.1016/S1005-8885(13)60042-4

中国邮电高校学报(英文) ›› 2013, Vol. 20 ›› Issue (3): 13-19.doi: 10.1016/S1005-8885(13)60042-4

Application of underdetermined blind source separation in ultra-wideband communication signals

付永庆¹,郭慧¹,苏东林²,刘焱²

1. College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China 2. EMC Laboratory, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

收稿日期:2013-01-30 修回日期:2013-04-09 出版日期:2013-06-30 发布日期:2013-06-26
通讯作者: 郭慧 E-mail:chinamengh823@126.com
基金资助:
This work was supported by the National Natural Science Foundation of China (61172038, 60831001).

Application of underdetermined blind source separation in ultra-wideband communication signals

1. College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China 2. EMC Laboratory, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

Received:2013-01-30 Revised:2013-04-09 Online:2013-06-30 Published:2013-06-26
Supported by:
This work was supported by the National Natural Science Foundation of China (61172038, 60831001).

摘要/Abstract

摘要：

Aiming to the estimation of source numbers, mixing matrix and separation of mixing signals under underdetermined case, the article puts forward a method of underdetermined blind source separation (UBSS) with an application in ultra-wideband (UWB) communication signals. The method is based on the sparse characteristic of UWB communication signals in the time domain. Firstly, finding the single source area by calculating the ratio of observed sampling points. Then an algorithm called hough-windowed method was introduced to estimate the number of sources and mixing matrix. Finally the separation of mixing signals using a method based on amended subspace projection. The simulation results indicate that the proposed method can separate UWB communication signals successfully, estimate the mixing matrix with higher accuracy and separate the mixing signals with higher gain compared with other conventional algorithms. At the same time, the method reflects the higher stability and the better noise immunity.

关键词:

UBSS, UWB, single source area detection, hough-windowed, amended subspace projection

Abstract:

Key words:

UBSS, UWB, single source area detection, hough-windowed, amended subspace projection

FU Yong-qing, GUO Hui, SU Dong-lin, LIU Yan. Application of underdetermined blind source separation in ultra-wideband communication signals[J]. Acta Metallurgica Sinica(English letters), 2013, 20(3): 13-19.

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Application of underdetermined blind source separation in ultra-wideband communication signals

Application of underdetermined blind source separation in ultra-wideband communication signals

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