A comparative study of three recursive least-squares algorithms for single-tone frequency tracking

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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Original languageEnglish
Pages (from-to)2059-2062
Journal / PublicationSignal Processing
Issue number9
Publication statusPublished - Sep 2003


The development of recursive least-squares-type realizations for the modified co-variance (MC), Pisarenko harmonic decomposition (PHD) and reformed Pisarenko harmonic decomposition (RPHD) methods in tracking single real tone frequency was discussed. It was shown that the frequency tracking performance of the adaptive RPHD algorithm outperforms the MC and PHD methods and its computational requirement was moderated among the three methods. The computational requirement of the adaptive realization per iteration was eight additions, nine multiplications, one division, one root operation and one arccosine function.

Research Area(s)

  • Adaptive frequency tracking, Real sinusoid, Recursive least-squares algorithm