Steady-state tracking analysis of the RLS algorithm for time-varying channels: a general state-space approach
We present a general technique for analyzing the steady-state tracking performance of the recursive least squares (RLS) algorithm for estimating Rayleigh fading channels in terms of the mean squared identification error (MSIE) or mean squared deviation (MSD). The technique may be used with a general...
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          | Published in | IEEE communications letters Vol. 7; no. 5; pp. 236 - 238 | 
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| Main Authors | , | 
| Format | Journal Article | 
| Language | English | 
| Published | 
        New York, NY
          IEEE
    
        01.05.2003
     Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)  | 
| Subjects | |
| Online Access | Get full text | 
| ISSN | 1089-7798 1558-2558  | 
| DOI | 10.1109/LCOMM.2003.811208 | 
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| Summary: | We present a general technique for analyzing the steady-state tracking performance of the recursive least squares (RLS) algorithm for estimating Rayleigh fading channels in terms of the mean squared identification error (MSIE) or mean squared deviation (MSD). The technique may be used with a general-order vector-autoregressive (VAR) model. Numerical results obtained using the technique agree closely with experimental results. | 
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| Bibliography: | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Article-1 ObjectType-Feature-2 content type line 23  | 
| ISSN: | 1089-7798 1558-2558  | 
| DOI: | 10.1109/LCOMM.2003.811208 |