Globally convergent deflationary instantaneous blind source separation algorithm for digital communication signals

被引：17
|
作者：
Erdogan, Alper Tunga [1 ]
机构：
[1] Koc Univ, Dept Elect & Elect Engn, TR-34450 Istanbul, Turkey
来源：
IEEE TRANSACTIONS ON SIGNAL PROCESSING | 2007年 / 55卷 / 05期
关键词：
adaptive filtering; blind source separation (BSS); independent component analysis; multiple-in multiple-out (MIMO) blind equalization; subgradient;
D O I：
10.1109/TSP.2007.893214
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Recently an instantaneous blind source separation (BSS) approach that exploits the bounded magnitude structure of digital communications signals has been introduced. In this paper, we introduce a deflationary adaptive algorithm based on this criterion and provide its convergence analysis. We show that the resulting algorithm is convergent to one of the globally optimal points that correspond to perfect separation. The simulation examples related to the separation of digital communication signals are provided to illustrate the convergence and the performance of the algorithm.
引用
收藏
页码：2182 / 2192
页数：11
相关论文
共 50 条
  • [21] A deterministic blind separation approach based on GA for digital communication signals
    Wang, C
    Huang, SH
    Dai, XC
    Xu, PX
    International Symposium on Communications and Information Technologies 2005, Vols 1 and 2, Proceedings, 2005, : 478 - 481
  • [22] A maximum likelihood approach to blind separation of narrowband digital communication signals
    Yellin, D
    Friedlander, B
    THIRTIETH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS, VOLS 1 AND 2, 1997, : 679 - 683
  • [23] A fast sequential source separation algorithm for digital cochannel signals
    Hansen, LK
    Xu, GH
    IEEE SIGNAL PROCESSING LETTERS, 1997, 4 (02) : 58 - 61
  • [24] A robust blind source separation algorithm without whitening the observed signals
    Wang, Hangjun
    Fang, Luming
    2006 INTERNATIONAL CONFERENCE ON COMMUNICATIONS, CIRCUITS AND SYSTEMS PROCEEDINGS, VOLS 1-4: VOL 1: SIGNAL PROCESSING, 2006, : 2051 - +
  • [25] Analysis of Single Channel Blind Source Separation Algorithm for Chaotic Signals
    He, Jiai
    Song, Yuxiao
    Du, Panpan
    Xu, Lei
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2018, 2018
  • [26] An on-line blind source separation algorithm for temporally correlated signals
    He Wenxue
    Zhang Guichen
    ISDA 2006: SIXTH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS DESIGN AND APPLICATIONS, VOL 2, 2006, : 806 - +
  • [27] A fast blind source separation algorithm based on the temporal structure of signals
    Zhang, Hongjuan
    Wang, Guinan
    Cai, Pingmei
    Wu, Zikai
    Ding, Shuxue
    NEUROCOMPUTING, 2014, 139 : 261 - 271
  • [28] A fast algorithm for the blind separation of digital co-channel signals
    Hansen, LK
    Xu, GH
    THIRTIETH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS, VOLS 1 AND 2, 1997, : 561 - 565
  • [29] Blind Separation of Dependent Sources With a Bounded Component Analysis Deflationary Algorithm
    Aguilera, Pablo
    Cruces, Sergio
    Duran-Diaz, Ivan
    Sarmiento, Auxiliadora
    Mandic, Danilo P.
    IEEE SIGNAL PROCESSING LETTERS, 2013, 20 (07) : 709 - 712
  • [30] Score-based Source Separation with Applications to Digital Communication Signals
    Jayashankar, Tejas
    Lee, Gary C. F.
    Lancho, Alejandro
    Weiss, Amir
    Polyanskiy, Yury
    Wornell, Gregory W.
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 36 (NEURIPS 2023), 2023,
12345