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IEEE International Conference on Acoustics, Speech, and Signal Processing

作者： Qian, YQ Li, Q Yao, TR Huazhong Univ Sci & Technol Dept Elect & Informat Wuhan 430074 Peoples R China

ISBN: (纸本)0780376633

Adaptive predistortion is one of the most promising techniques to overcome the nonlinear of High Power Amplifier (HPA). However, the adaptation of predistorter is not satisfied, for many efficient least-square (LS) adaptive algorithm cannot be used. In this paper, we analyze previously published predistortion structures and their difficulties in adapting with these efficient algorithms. The proposed structure constructs the desired output of the predistorter, so many efficient LS adaptive algorithms can be used directly, which implies that we can obtain faster convergence and lower complexity in adaptive process. Simulation results using recursive least square (RLS) algorithm in adaptation demonstrate about 30dB spectrum spreading improvement.

关键词： spread spectrum communication adaptive signal processing power amplifiers radiofrequency amplifiers least squares approximations distortion convergence of numerical methods predistortion structures efficient least-square adaptive algorithms adaptive predistortion nonlinear high power amplifier LS adaptive algorithms convergence complexity simulation results recursive least square algorithm RLS algorithm spread spectrum spreading communication

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A nonlinear recursive least squares algorithm for crosstalk-resistant noise canceler

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ELECTRONICS AND COMMUNICATIONS IN JAPAN PART III-FUNDAMENTAL ELECTRONIC SCIENCE 2003年第5期86卷 36-44页

作者： Umayahara, M Iiguni, Y Maeda, H Osaka Univ Dept Commun Engn Suita Osaka 5650871 Japan

In this paper, a method of updating filter coefficients is proposed in which the RLS (recursive least squares) algorithm is applied to a noise canceler with a filter for crosstalk removal. The RLS algorithm has an advantage over the least Mean square algorithm by virtue of better convergence. When the filter coefficients are updated including the filter for crosstalk removal, the error signal becomes nonlinear in terms of filter coefficients. Hence, a nonlinear RLS algorithm is derived in which such non-linearity is taken into account. It is shown that the convergence is further improved in comparison with the conventional RLS algorithm. Finally, a method is proposed to reduce the noise contained in the transmitted voice signals of telephone-by means of the present noise canceler and its effectiveness is evaluated. (C) 2003 Wiley Periodicals, Inc.

关键词： crosstalk noise canceler recursive least square algorithm convergence

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Passive time reversal acoustics for horizontal shallow water acoustic communication to mitigate the effect of intersymbol interference

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APPLIED ACOUSTICS 2021年 174卷 107783-107783页

作者： Malarkodi, A. Latha, G. Srinivasan, S. Minist Earth Sci Natl Inst Ocean Technol Chennai 600100 Tamil Nadu India Anna Univ Madras Inst Technol Chennai 600044 Tamil Nadu India

Open ocean shallow water channels are characterized to be time varying, dispersive and multipath environment causes severe Inter Symbol Interference (ISI). Passive time reversal has ability to mitigate the effect of ISI with less expensive hardware. This paper presents the experimental results of a passive time reversal experiment conducted in ashallow water environment in Bay of Bengal during 2018. One Acoustic projector with 4 element receiver array was used for this experiment for 3 km and 5 km ranges at 1000 and 2000 bps with the center frequency of 11 kHz. The performance of passive time reversal communication is evaluated for two different approaches such as with passive time reversal technique and equalization combined with passive time reversal. Decision Feedback Equalizer (DFE) with recursive least square (RLS) algorithm is used to remove the residual intersymbol interference (ISI). RLS algorithm in a DFE is used for calculating the tap-coefficient vector in order to minimize the squared equalization error due to input noise and due to channel dynamics in shallow water environment. The BER values of 2 x 10(-2) to 1 x 10(-1) for 3 km range and 2 x 10(-1) to 5 x 10(-1) for 5 km range are obtained with time reversal and DFE combination as shown in Fig. 12. Time reversal cascaded with RLS DFE equalizer has also reduced scattering in the I/Q plan. Thus the algorithm demonstrates that the performance of shallow water communication improves by combining passive time reversal with an adaptive equalization. (C) 2020 Elsevier Ltd. All rights reserved.

关键词： Passive time reversal acoustics Underwater communication Intersymbol interference Decision feedback equalization recursive least square algorithm

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Online Inductance Identification of Permanent Magnet Synchronous Motors Independent of Rotor Position Information

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WORLD ELECTRIC VEHICLE JOURNAL 2024年第1期15卷 35页

作者： Xing, Jilei Zhang, Junzhi Zhuang, Xingming Xu, Yao Tsinghua Univ Sch Vehicle & Mobil Beijing 100084 Peoples R China BIT HuaChuang Elect Vehicle Technol Co Ltd Beijing 100081 Peoples R China Beijing Inst Technol Sch Mech Engn Beijing 100081 Peoples R China

Sensorless control of permanent magnet synchronous motors is preferable in some applications due to cost and mounting space concerns. The performance of most existing position estimation methods greatly depends on the accuracy of the motor inductance. As the estimated position should not be involved in the parameter identification process in a sensorless control system, an online inductance identification method independent of the rotor position information is developed in this paper. The proposed method utilizes the recursive least square algorithm and the particle swarm optimization algorithm to realize real-time identification of the inductance along the direct axis and the quadrature axis, respectively, based on the deduced parametric equations without position information. The proposed method is efficient enough to be implemented within 0.2 ms and does not introduce any additional signal injection. A test bench is built to validate the characteristics of the method, and the experimental results show that the identified inductance can converge to the actual value rapidly and is robust to changes in the initial values and stator current. With the proposed method, accurate estimation of the rotor position and speed can be obtained using traditional model-based position estimators, and the stability of the sensorless control system can be improved significantly.

关键词： permanent magnet synchronous motors online inductance identification sensorless control recursive least square algorithm particle swarm optimization

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RBF neural network with optimal selection cluster algorithm and its application

RBF neural network with optimal selection cluster algorithm ...

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4th World Congress on Intelligent Control and Automation

作者： Liu, TN Guan, XZ Liu, ZY Xie, AH Zhang, H Daqing Petr Inst Dept Automat & Control Engn Anda 151400 Heilongjiang Peoples R China

ISBN: (纸本)0780372689

In this paper, it is framed a model of RBF neural network (RBFNN) to solve identification of nonlinear systems. First, it is proposed a kind of optimal selection cluster algorithm. By this algorithm, it is optimally gained the hidden layer node number of RBFNN in terms of input samples. At the same time, it is obtained the initial parameters values of RBF. Then, it is estimated the parameters value of RBF by gradient algorithm with momentum terms, and identified the weights of RBFNN by recursive least square algorithm. With the above two algorithms, it is alternately iterated. By the above hybrid algorithms, it is not only raised identification precision of RBFNN, but also improved generalization property of the net. It is proved the validity of the scheme by its applications.

关键词： RBF neural network optimal selection cluster algorithm identification gradient algorithm recursive least square algorithm

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Nonlinear signal processing based upon a reconfigurable knowledge database

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ELECTRONICS AND COMMUNICATIONS IN JAPAN PART III-FUNDAMENTAL ELECTRONIC SCIENCE 1995年第8期78卷 22-30页

作者： Iiguni, Y Member Faculty of Engineering Kyoto University Kyoto Japan 606

One of the most important problems in signal processing is to estimate the output for a known input, here referred to as a query from the input/output (I/O) data seen to this point. A nonlinear adaptive estimation method that uses a k-d trie (k-dimensional binary digital search tree) as an alternative to the k-d tree is presented here. The observed data are stored in the k-d trie, and a local model to answer each query is built by using the n nearest neighbors of the query. The database contents are updated as each new data point is available such that the latest N data are contained. This enables nonlinear adaptive signal processing in nonstationary environments. A storage procedure for the k-d trie that allows efficient update is presented for further reduction in computation time and storage requirement, A recursive least square algorithm, used for a recursive production of the local model, improves computational efficiency, Finally, a method of removing outliers is presented for improving estimation accuracy.

关键词： nonlinear estimation k-d trie adaptive signal processing recursive least square algorithm local model residual analysis

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An Improved Fuzzy Neural Networks algorithm and Its Application in Resistance Furnace

An Improved Fuzzy Neural Networks Algorithm and Its Applicat...

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2009 ISECS International Colloquium on Computing, Communication, Control, and Management

作者： Yong-song Lu,Hai-peng Pan Department of Automation Zhejiang Sci-Tech University Hangzhou,China

Resistance furnace has the characteristics of non- linear,time-delay,time-varying and so *** order to overcome the disadvantage of the traditional Fuzzy Neural Network(FNN)controller with long setting time,an improved Fuzzy Neural Network Controller is presented in this *** consists of two *** is the traditional Fuzzy Neural *** other is a compensator,which is used to accelerate the response of the *** on the recursive least square(RLS)algorithm,the parameters of the model are identified on *** to this model,the trend of the plant can be predicted and the overshoot can be restrained. And the simulation result indicates that this method has the characteristics of short setting time and obvious improvement of traditional fuzzy neural network.

关键词： resistance furnace FNN compensator recursive least square algorithm

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Study on RLS-Type algorithm of GPS-Guided Range Correction

Study on RLS-Type Algorithm of GPS-Guided Range Correction

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作者： Jun Chen Zhonghua Du Jian Shen The 28th Research Institute of China Electronics Technology Group Corporation Nanjing University of Science and Technology

Mitigating the error of GPS measurement signals is essential for the range precision of GPS-guided range correction *** order to improve the range precision,an online method based on recursive least square algorithm(RLS) is applied to calculate the deployment time of ***,RLS is utilized to mitigate the error of the velocity,position,angle,etc.,measured by ***,the deployment time can be calculated accurately by means of the appropriate pretreated *** confirm the effectiveness of the method,a comparison to using least square algorithm and non-algorithm is *** experimental results demonstrate that the method in this paper takes advantages in terms of online,real-time and the range correction accuracy.

关键词： recursive least square algorithm range correction deployment time fitting realtime

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Vibration control of Piezoactuated Cantilever Beams using Adaptive filtering

Vibration control of Piezoactuated Cantilever Beams using Ad...

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International Conference on Information Communication and Embedded Systems

作者： L.R. Karl Marx L. Swathi Department of Electronics and Communication Engineering Thiagarajar College of Engineering Madurai-625 015 India

ISBN: (纸本)9781467357869

Adaptive filters play a major role in vibration control of piezoactuated cantilever beams. Though a variety of adaptive algorithms are available to suppress vibrations, recursive least square algorithm is used because of its faster convergence and better control performance. In this paper, the ARX based system identified cantilever beams and their parameters are considered for simulation. Results show that the vibration control of piezoactuated cantilever beams can be achieved using recursive least square algorithm on the adaptive IIR structure. With this algorithm, the percentages of vibration suppression of piezoactuated cantilever beams with different natural frequencies are observed.

关键词： Adaptive filters recursive least square algorithm IIR filter vibration control

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