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Recursive least squares filter

About: Recursive least squares filter is a research topic. Over the lifetime, 8907 publications have been published within this topic receiving 191933 citations.


Papers
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Proceedings ArticleDOI
14 Jun 1982
TL;DR: In this article, an algorithm for providing adaptive control and dead time compensation of single input-single output (SISO) systems with unknown or varying dead time is presented, which is designed by pole-zero placement and is unique in that an explicit estimate of the dead-time is not required, thus avoiding a difficult estimation problem.
Abstract: An algorithm for providing adaptive control and dead time compensation of single input-single output systems with unknown or varying dead time is presented. The algorithm is designed by pole-zero placement and is unique in that an explicit estimate of the dead time is not required, thus avoiding a difficult estimation problem. Parameter estimation for the adaptive controller/dead time compensator is performed with a recursive least squares algorithm. Simulation studies and experimental application on a heat exchange loop on a pilot scale distillation column verify the performance of the algorithm. In each example, the performance of the adaptive controller/dead time compensator is compared to that of a proportional plus integral controller, illustrating the improvement in performance obtainable with the adaptive algortihm.

39 citations

Proceedings ArticleDOI
02 Dec 1991
TL;DR: A novel adaptive equalization scheme which is a combination of the recursive least squares adaptive algorithm and maximum likelihood sequence estimation (RLS-MLSE) is proposed, demonstrating the performance of the scheme in frequency-selective fast fading mobile radio channels.
Abstract: The authors propose a novel adaptive equalization scheme which is a combination of the recursive least squares adaptive algorithm and maximum likelihood sequence estimation (RLS-MLSE). The performance of the scheme is demonstrated in frequency-selective fast fading mobile radio channels. RLS-MLSE employs a parallel estimation scheme in which the state of the channel is estimated by the Viterbi algorithm and the parameters of the channel impulse response are estimated by RLS. A simplified RLS algorithm and an extension to the diversity reception scheme are discussed. Computer simulations show that RLS-MLSE is suitable for 40-kb/s QPSK (quadrature phase shift keying) transmission in 900-MHz-band mobile radio systems, and that equalization with two-branch diversity operates up to a maximum Doppler frequency of 160 Hz. >

39 citations

Journal ArticleDOI
TL;DR: This note supplements the paper of Sakai with the derivation of optimal recursive least squares circular lattice estimation algorithms based on the geometric method of Lee, Morf, and Friedlander.
Abstract: This note supplements the paper of Sakai [1] about circular lattice filtering with the derivation of optimal recursive least squares circular lattice estimation algorithms. The derivation is based on the geometric method of Lee, Morf, and Friedlander [2]. The same method is also applied to obtain an optimal recursive estimation algorithm for escalator structure of Ahmed and Youn [3].

39 citations

Journal ArticleDOI
TL;DR: A novel adaptive median-based filter, called the partition fuzzy median (PFM) filter, which achieves its effect through a summation of the weighted output of the median filter and the related weighted input signal.

39 citations

Journal ArticleDOI
TL;DR: In this article, a recursive least square structure is proposed to minimize the weighted summation of the logarithmic transformation of posterior errors and taking the commutation error into consideration, which not only reduces broadband, narrowband and impulse noise successfully, but also mixtures of them.

39 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202356
2022104
2021172
2020228
2019234
2018237