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Blind Channel Estimation and Multiuser Detection for Multi-Rate CDMA Communications

Huang, Lei (2003) Blind Channel Estimation and Multiuser Detection for Multi-Rate CDMA Communications. PhD thesis thesis, Victoria University.

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    Abstract

    The future wireless communications systems should be able to offer wide variety of applications, which have vastly different quality of service (QoS) requirements. The time-variable QoS may require the support of variable bit rates on the wireless links to the individual users. Multi-rate DS/CDMA is a promising basis on which to support the variable bit rates on the individual wireless links. Currently, the study on channel estimation and multiuser detection for multi-rate DS/CDMA, which makes full use of the nature of multi-rate signals, is still at its early stage. The thesis deals with the application of subspace-based techniques to blind channel estimation and multiuser detection for multi-rate DS/CDMA, including single-carrier and multicarrier scenarios. For the single-carrier case, space-time blind linear multiuser detection is investigated for synchronous dual-rate systems over the AWGN channel. The performance is evaluated analytically. The multi-rate generalization and the asynchronous extension are discussed. Two-stage space-time dual-rate blind detectors are also presented. Furthermore, blind adaptive channel estimation and detection schemes for asynchronous dual-rate systems over frequency-selective multipath channels are developed. In the context of multicarrier DS/CDMA, based on a finite-length truncation approximation on the band-limited chip waveform, blind timing acquisition and channel estimation scheme is proposed for multi-rate systems. The channel estimation error due to the finite-length chip waveform truncation is analyzed by exploiting a first-order perturbation approximation.

    Item Type: Thesis (PhD thesis)
    Uncontrolled Keywords: wireless communications; users; applications; single-carrier; multicarrier
    Subjects: RFCD Classification > 290000 Engineering and Technology
    Faculty/School/Research Centre/Department > School of Engineering and Science
    Depositing User: Mr Angeera Sidaya
    Date Deposited: 16 Feb 2006
    Last Modified: 22 May 2013 05:25
    URI: http://vuir.vu.edu.au/id/eprint/267
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