University of Sussex
Browse

File(s) not publicly available

Successive Blind Multi-Target Adaptive Antenna Array and Interference Cancellation for DS-CDMA

journal contribution
posted on 2023-06-08, 07:23 authored by D Annalingam, Falah AliFalah Ali, E Stipidis
An effective design of successive joint blind multi-target (MT) adaptive antenna array (AAA) and interference cancellation is presented for multi-user detection of DS-CDMA. The MT-AAA employs the adaptive block size least square-constant modulus algorithm (LS-CMA) with pre-despreading at each antenna element combined with a simple weight adaptive canceller. The combined process is repeated successively for the detection of all users without any knowledge of the channel or training sequences. It is shown to utilise the advantages of both techniques and provides improved performance in fading channel for the near-far problem, in-beam interference, and a high number of users

History

Publication status

  • Published

Journal

Electronics Letters

ISSN

0013-5194

Issue

20

Volume

42

Page range

1165-1167

Pages

3.0

Department affiliated with

  • Engineering and Design Publications

Notes

The paper describes an effective design combining blind adaptive antenna array and interference cancellation to increase the capacity and performance of CDMA-based mobile communication systems. The joint algorithm achieved the advantages of both techniques and implemented without the need for any channel knowledge or training sequences. Competitive field required rapid publication in this leading journal with high impact factor.The work presented here and recent advances within the group are providing for more future collaborations with industry and academia. Industrial collaborator, Dr Gilles Charbit, gilles.chartbit@nokia.com, Systems Research Manager, Nokia UK ltd-Farnborough. International collaborator, Prof Ping Fan, p.fan@ieee.org, Southwest JiaoTong University-China.

Full text available

  • No

Peer reviewed?

  • Yes

Legacy Posted Date

2012-02-06

Usage metrics

    University of Sussex (Publications)

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC