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《Journal of Data Acquisition and Processing》 2011-05
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Modified Method for Bearing Estimation Based on Singular Value Decomposition

Chen Zhifei,Sun Jincai,Hou Hong(College of Marine Engineering,Northwestern Polytechnical University,Xi'an,710072,China)  
The modified singular value decomposition method based on signal phase matching(MSVDSPM) is presented to make the root mean square error of the direction of arrival(DOA) estimation of singular value decomposition based on signal phase matching(SVDSPM) close to the Cramer-Rao bound at high signal-to-noise ratio.Firstly,the sensor outputs are transformed to the frequency domain.Then the reciprocal of the square summation of the distance between the sensor output spectra and their mean value at the center frequency bin is taken as the DOA estimator.The simulation results show that the MSVDSPM has a better performance in DOA estimation than that of SVDSPM.MSVDSPM is a beamforming method preserving the sharp peak of the SVDSPM spectrum in the case of single source.The beam width of the MSVDSPM spectrum is independent of the analysis frequency.
【Fund】: 国家自然科学基金(60672136)资助项目
【CateGory Index】: TN911.7
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【Citations】
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【Co-citations】
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