caa a22 4500 606199179 CHVBK 20210128100937.0 cr unu---uuuuu 210128e20150101xx s 000 0 eng 10.1007/s11045-013-0273-0 doi (NATIONALLICENCE)springer-10.1007/s11045-013-0273-0 DOA estimation of moving sound sources in the context of nonuniform spatial noise using acoustic vector sensor [Elektronische Daten] [Yong Jin, Xianxing Liu, Zhentao Hu, Song Li, Yunshan Hou] In this paper, DOA estimation of moving sound source using an acoustic vector-sensor in the context of spatially nonuniform noise is discussed. We propose a novel method for DOA tracking. In this method, non-uniform noise covariance is first estimated using acoustic vector sensor measurement and then the weighted parameter of conventional maximum power (MP) method is fixed by noise pre-whitening technique. In this way the weighted parameter selection problem of MP is solved when the noise powers of monopole and dipole are unknown. Moreover, under the assumption of constant velocity model of source dynamics, the DOA estimation by the improved maximum energy method is treated as measuring information and the Kalman filter algorithm in polar coordinate system is introduced to improve the accuracy of DOA estimation of moving sources. Theoretical analysis and simulation results demonstrate that the mean square angle error of the proposed method is lower than the traditional Cramer-Rao lower bound which only employs static measurement information. Springer Science+Business Media New York, 2014 DOA nationallicence Acoustic vector sensor nationallicence Moving sound source nationallicence Kalman filter nationallicence Jin Yong Institute of Image Processing and Pattern Recognition, Henan University, 475001, Kaifeng, China aut Liu Xianxing Institute of Image Processing and Pattern Recognition, Henan University, 475001, Kaifeng, China aut Hu Zhentao Institute of Image Processing and Pattern Recognition, Henan University, 475001, Kaifeng, China aut Li Song Institute of Image Processing and Pattern Recognition, Henan University, 475001, Kaifeng, China aut Hou Yunshan Institute of Image Processing and Pattern Recognition, Henan University, 475001, Kaifeng, China aut Multidimensional Systems and Signal Processing Springer US; http://www.springer-ny.com 26/1(2015-01-01), 321-336 0923-6082 26:1<321 2015 26 11045 https://doi.org/10.1007/s11045-013-0273-0 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 brief-communication jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s11045-013-0273-0 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Jin Yong Institute of Image Processing and Pattern Recognition, Henan University, 475001, Kaifeng, China aut NATIONALLICENCE 700 1- Liu Xianxing Institute of Image Processing and Pattern Recognition, Henan University, 475001, Kaifeng, China aut NATIONALLICENCE 700 1- Hu Zhentao Institute of Image Processing and Pattern Recognition, Henan University, 475001, Kaifeng, China aut NATIONALLICENCE 700 1- Li Song Institute of Image Processing and Pattern Recognition, Henan University, 475001, Kaifeng, China aut NATIONALLICENCE 700 1- Hou Yunshan Institute of Image Processing and Pattern Recognition, Henan University, 475001, Kaifeng, China aut NATIONALLICENCE 773 0- Multidimensional Systems and Signal Processing Springer US; http://www.springer-ny.com 26/1(2015-01-01), 321-336 0923-6082 26:1<321 2015 26 11045