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《Advanced Technology of Electrical Engineering and Energy》 2010-02
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Interharmonic analysis based on TLS-ESPRIT algorithm and Adaline neural network

CHU Xian-wu(School of Electrical & Information Engineering,Dalian Jiaotong University,Dalian 116028,China)  
An interharmonic parameter estimation method based on Total Least Squares Estimation of Signal Parameters via Rotational Invariance Techniques algorithm was proposed in this paper.The numbers and frequencies of harmonics and interharmonics in power network signals are estimated by TLS-ESPRIT algorithm,and then their amplitudes and phases are analyzed by applying adaline neural network.ESPRIT algorithm was proposed by Roy et al in 1986,which can be applied to a wide variety of problems including accurate detection and estimation of sinusoids and direction of arrival of noise.It exploits an underlying rotational invariance among signal subspace induced by an array of sensors with a translational invariance structure.The technique manifests significant performance and computational advantages over MUSIC algorithm.When Adaline neural network is used in harmonic analysis it need not train in advance and has the characteristics of simplicity and celerity.The simulation results showed the algorithm which needs no synchronous sampling data has high frequency resolution and strong anti-jamming capability,and the parameters estimation of harmonics and interharmonics is accurate.
【CateGory Index】: TM711
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