Comments on “Two-stage fractional least mean square identification algorithm for parameter estimation of CARMA systems”

This note points out some errors in the identification algorithms presented by M. A. Z. Raja and N. I. Chaudhary for estimation of controlled autoregressive moving average systems [“Two-stage fractional least mean square identification algorithm for parameter estimation of CARMA systems”, Signal Pro...

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Bibliographic Details
Published in:Signal processing 2015-12, Vol.117, p.279-280
Main Author: Aslam, Muhammad Saeed
Format: Article
Language:English
Subjects:
Adaptive filtering
CARMA systems
Fractional LMS
Fractional signal processing
Parameter estimation
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Summary:This note points out some errors in the identification algorithms presented by M. A. Z. Raja and N. I. Chaudhary for estimation of controlled autoregressive moving average systems [“Two-stage fractional least mean square identification algorithm for parameter estimation of CARMA systems”, Signal Processing 107 (2015), 327–339.]. Corrections on the basis of established techniques are also mentioned that solve the problems of the above mentioned paper. In addition, lack of any technical innovation between single stage and two-stage algorithms is highlighted. •No technical difference between single stage and two-stage algorithms of [1].•Noise v(t) is treated as known signal. This is totally wrong.•Solutions of issues are presented on the basis of established results.
ISSN:0165-1684
1872-7557
DOI:10.1016/j.sigpro.2015.06.001