Rank Constrained Temporal-Spatial Filters for CDMA Systems in Multipath Channels

Aylin Yener, Önder Filiz

    Research output: Contribution to conferencePaperpeer-review

    2 Scopus citations


    In this paper, a receiver structure which combines multiuser detection (temporal filtering) and receiver beamforming (spatial filtering) in a multipath environment is considered. Following [1], [2], we model the receiver as a linear matrix filter and use the minimum mean-squared error (MMSE) as the performance criterion. Motivated by the complexity of the optimum receiver, we propose rank constrained temporal-spatial filters which are simpler and near optimum. The MSE is minimized subject to a structural constraint, using an iterative alternating minimization algorithm. Numerical results indicate that a performance close to that of the optimum filter can be achieved with a simple iterative structure, even in highly loaded systems. Least mean squares (LMS) is used to formulate the adaptive implementations and the convergence properties are investigated along with the effect of the number of multipath components.

    Original languageEnglish (US)
    Number of pages5
    StatePublished - 2003
    EventIEEE Global Telecommunications Conference GLOBECOM'03 - San Francisco, CA, United States
    Duration: Dec 1 2003Dec 5 2003


    OtherIEEE Global Telecommunications Conference GLOBECOM'03
    Country/TerritoryUnited States
    CitySan Francisco, CA

    All Science Journal Classification (ASJC) codes

    • Electrical and Electronic Engineering
    • Global and Planetary Change


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