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Amplitude banded rls approach to time variant channel equalization

IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES 2001年第11期E84A卷 2946-2949页

作者： Shimamura, T Cowan, CFN Queens Univ Belfast Dept Elect & Elect Engn Belfast BT9 5AH Antrim North Ireland

This paper proposes a non-linear adaptive algorithm, the amplitude banded rls (ABrls) algorithm, as an adaptation procedure for time variant channel equalizers. In the ABrls algorithm, a coefficient matrix is updated based on the amplitude level of the received sequence. To enhance the capability of tracking for the ABrls algorithm, a parallel adaptation scheme is utilized which involves the structures of decision feedback equalizer (DFE). Computer simulations demonstrate that the novel ABrls based equalizer provides a significant improvement relative to the conventional rls DFE on a rapidly time variant communication channel.

关键词： time variant channel decision feedback equalizer rls algorithm amplitude banded technique

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rls and its improved algorithms in MIMO-OFDM system

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INTERNATIONAL JOURNAL OF MODELLING IDENTIFICATION AND CONTROL 2012年第3期16卷 246-250页

作者： Li, Mei Wang, Xiang Zhang, Xiaoming Jia, Ke Hebei Univ Sci & Technol Inst Informat Sci & Engn Dept Comp Sci & Technol Shijiazhuang 050018 Hebei Peoples R China Hebei Univ Sci & Technol Inst Informat Sci & Engn Dept Network Engn Shijiazhuang 050018 Hebei Peoples R China

This paper will analyse the rls algorithm and its improved algorithms, QRD-rls and IQRD-rls algorithms. QRD-rls and IQRD-rls algorithms can reduce the complexity of rls algorithm effectively. Then, we apply these three algorithms in MIMO-OFDM system, and we do some simulations on these three algorithms. From the simulation, we can see that the performance of the QRD-rls and IQRD-rls algorithms is better than rls algorithm.

关键词： multiple-input multiple-output MIMO orthogonal frequency division multiplexing channel estimation rls algorithm

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Adaptive Tracking of Ambient System Oscillations by Nonstationary rls Techniques

Adaptive Tracking of Ambient System Oscillations by Nonstati...

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General Meeting of the IEEE-Power-and-Energy-Society (PES)

作者： Moreno, I. Messina, A. R. Dept Elect Engn Cinvestav Guadalajara 45010 Jal Mexico

ISBN: (纸本)9781457710018

Measured ambient data in power system are known to exhibit noisy, nonstationarity fluctuations resulting primarily from small magnitude, random changes in load. Accounting for stochastic and time-varying features can provide a better description of the data and result in improved estimation algorithms. In this paper, a new hybrid algorithm combining a recursive least-square (rls) algorithm and a Kalman filter described by a random walk correlation model is proposed to characterize the time evolution of ambient system oscillations. Extensions and generalizations to current rls algorithms to deal with nonstationarity are discussed and the relationship between Kalman filter parameters and rls algorithms is analyzed. Examples of the developed procedures to track the evolving dynamics of critical system modes in both simulated and measured data are presented. Comparisons with well-established approaches such as the exponentially-weighted rls algorithm, rls algorithms with adaptive memory, least-mean squares (LMS) algorithms and normalized LMS algorithms demonstrate the accuracy of the proposed procedure.

关键词： Ambient power system data Kalman filtering LMS algorithm rls algorithm

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Adaptive Inverse Control of Two-axis Hydraulic Shaking Table Based on rls Filter

Adaptive Inverse Control of Two-axis Hydraulic Shaking Table...

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第三十二届中国控制会议

作者： YANG Ningning GUAN Guangfeng WANG Haitao XIONG Wei Department of Mechanical Engineering Dalian Maritime University

ISBN: (纸本)9781479900305

An adaptive inverse controller in the out loop,which are applied as an outer control loop around the inner control loop of the two-axis angle shaking table,are presented to provide increased control accuracy,stability and reproducibility in applications where inner-control-loop methods prove to be *** kinds of adaptive algorithms LMS(Least-mean-square) and rls (recursive-least-square) are *** results show that the rls algorithm,which is finally adopted in control system, exhibits fast convergence compared with *** results obtained in acceleration tracking experiment show the effectiveness of the adaptive inverse controller based on rls algorithm.

关键词： Electro-hydraulic shaking table adaptive filters rls algorithm LMS algorithm adaptive inverse control

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A novel ABrls algorithm for equalization of time-variant channels

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IFAC Proceedings Volumes 2004年第12期37卷 433-438页

作者： Mohammed H. Wondimagegnehu Tetsuya Shimamura Graduate School of Science and Engineering Saitama University Saitama 338-8570 Japan

This paper proposes a novel nonuniform division amplitude banded rls (ABrls) algorithm, as an adaptation procedure for time-variant channel equalizers. In the ABrls algorithm, a coefficient matrix is updated based on the amplitude level of the received sequence. The distribution of the instantaneous amplitude of the time-variant channel output tends to be Gaussian by virtue of the central limit theorem. The proposed method takes advantage of this behavior of the channel output to improve the adaptation scheme of the existing uniform division form of ABrls algorithm. Computer simulation results obtained by using a second order Markov communication channel model show that the proposed nonuniform ABrls algorithm provides a significant BER performance improvement compared to the existing uniform ABrls algorithm.

关键词： time variant channel decision feedback equalizer rls algorithm uniform ABrls algorithm nonuniform ABrls algorithm

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Polynomial Prediction rls Channel Estimation for DS-CDMA Frequency-domain Equalization

Polynomial Prediction RLS Channel Estimation for DS-CDMA Fre...

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70th IEEE Vehicular Technology Conference

作者： Kojima, Yohei Takeda, Kazuki Adachi, Fumiyuki Tohoku Univ Grad Sch Engn Dept Elect & Commun Engn Aoba Ku Sendai Miyagi 9808579 Japan

ISBN: (纸本)9781424425143

Recently, we have proposed an adaptive channel estimation (CE) scheme using one-tap recursive least square (rls) algorithm (adaptive rls-CE), where the forgetting factor is adapted to the changing channel condition by the least mean square (LMS) algorithm, for direct sequence-code division multiple access (DS-CDMA) with frequency-domain equalization (FDE). However, the tracking ability for adaptive rls-CE is limited since the channel estimate obtained from the previously received block is used. In this paper, we introduce the polynomial prediction to improve the tracking ability. We evaluate the bit error rate (BER) performance of DS-CDMA using polynomial prediction rls-CE in a frequency-selective fast Rayleigh fading channel by computer simulation.

关键词： components DS-CDMA frequency-domain equalization channel estimation rls algorithm prediction

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rls and Kalman Filter identifiers based adaptive SVC controller

RLS and Kalman Filter identifiers based adaptive SVC control...

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39th North American Power Symposium

作者： Barnawi, A. Albakkar, A. Malik, O. P. Univ Calgary Dept Elect & Comp Engn Calgary AB T2N 1N4 Canada

ISBN: (纸本)9781424417254

This paper presents a prospective application of a Static VAr Compensator (SVC) in power systems,. with particular emphasis on the use of an SVC with a supplementary adaptive controller to enhance system damping. The SVC adaptive controller consists of an on-line identified system model and a Pole-Shift (PS) feedback controller. Recursive Least Squares (rls) identification algorithm and Kalman Filter as a parameters estimator are used for on-line model identification to obtain a dynamic equivalent model of the system. The two methods are compared to determine the most appropriate identification algorithm for this application. The PS controller is then adapted using the identified model. The proposed technique is tested on a single machine infinite bus system and a fifth-order multi-machine system. The results obtained demonstrate improvement in the overall system damping characteristics by applying the proposed adaptive controller as well as an enhancement of the power system stability in comparison to the conventional controller.

关键词： adaptive PS controller Kalman Filter estimator rls algorithm SVC

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Time-domain rls-based channel estimation for MIMO OFDM systems

Time-domain RLS-based channel estimation for MIMO OFDM syste...

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IEEE International Conference on Telecommunications/IEEE Malaysia International Conference on Communications (ICT-MICC 2007)

作者： Saeed, M. A. Ali, B. M. Ismail, M. Khatun, S. Noordin, N. K. Univ Putra Malaysia Fac Engn Serdang 43400 Selangor Malaysia Univ Kebangsaan Malaysia Fac Engn Bangi 43600 Malaysia

ISBN: (纸本)9781424410934

In this paper, an adaptive channel estimation scheme for MIMO OFDM systems based on time-domain training and recursive least squared (rls) algorithm is proposed. Time orthogonal as well as simultaneously transmitted training sequences are considered. The channel is assumed to be slowly varying: time-dispersive, i.e., constant during one OFDM symbol but changing from symbol to symbol. Channel estimation is performed in time-domain followed-by zero-forcing equalization in the frequency-domain. The computational complexity is significantly reduced by applying the matrix inversion lemma. Simulation results show that the proposed estimator with time orthogonal training sequences has better estimation performance over a range of Doppler spreads compared to the case when the training sequences are simultaneously transmitted from the different transmit antennas.

关键词： MIMO OFDM channel estimation rls algorithm

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Blind Capon-like adaptive ST-BC MIMO-CDMA receiver based on constant modulus criterion

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DIGITAL SIGNAL PROCESSING 2013年第6期23卷 1958-1966页

作者： Chern, Shiunn Jang Cheng, Ming-Kai Chao, Po-Sun Tamkang Univ Dept Elect Engn New Taipei City 25137 Taiwan Natl Sun Yat Sen Univ Dept Elect Engn Kaohsiung 80424 Taiwan

In this paper, we present a new Capon-like blind receiver based on linearly constrained constant modulus (LCCM) criterion for the multiple-input multiple-output (MIMO) antennas system along with space-time block code (ST-BC) using direct-sequence code division multiple access (CDMA) modulation technique. A time-varying channel model with generalized sidelobe canceller (GSC) associated with the recursive least squares (rls) algorithm is implemented to reduce the complexity of receiver design. In our derived algorithm, the parameter of constant modulus, alpha, relating to the desired user power is updated adaptively via stochastic gradient algorithm to track user's amplitude variation. Also we prove theoretically that in the two-branch filter bank receiver design the weight vector of one branch can be updated simply using the other one, which has been obtained with our proposed CM-GSC-rls algorithm, with simple pre-calculated transform. Hence computation complexity of the proposed adaptive blind receiver can be further reduced significantly. Via intense simulations it reveals that our proposed scheme has robust performance against the user's acquisition inaccuracies comparing with current available algorithms. (c) 2013 Elsevier Inc. All rights reserved.

关键词： Blind Capon receiver MIMO-CDMA system LCCM Generalized sidelobe canceller rls algorithm Constrained optimization

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A novel extended kernel recursive least squares algorithm

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NEURAL NETWORKS 2012年 32卷 349-357页

作者： Zhu, Pingping Chen, Badong Principe, Jose C. Univ Florida Dept Elect & Comp Engn Computat NeuroEngn Lab CNEL Gainesville FL 32611 USA

In this paper, a novel extended kernel recursive least squares algorithm is proposed combining the kernel recursive least squares algorithm and the Kalman filter or its extensions to estimate or predict signals. Unlike the extended kernel recursive least squares (Ex-Krls) algorithm proposed by Liu, the state model of our algorithm is still constructed in the original state space and the hidden state is estimated using the Kalman filter. The measurement model used in hidden state estimation is learned by the kernel recursive least squares algorithm (Krls) in reproducing kernel Hilbert space (RKHS). The novel algorithm has more flexible state and noise models. We apply this algorithm to vehicle tracking and the nonlinear Rayleigh fading channel tracking, and compare the tracking performances with other existing algorithms. (C) 2011 Elsevier Ltd. All rights reserved.

关键词： Kalman filter rls algorithm Extended-rls algorithms Extended kernel rls algorithm Tracking performance

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