The phase errors among the components of a single acoustic vector sensor cause the direction-of-arrival(DOA) estimation error of the existing methods.In order to address this issue,a DOA estimation method is proposed,...The phase errors among the components of a single acoustic vector sensor cause the direction-of-arrival(DOA) estimation error of the existing methods.In order to address this issue,a DOA estimation method is proposed,which is robust to the phase errors.The proposed method first utilizes the Hadamard product of the principal eigenvector of the covariance matrix of the received signal by the single vector sensor and its conjugate vector to construct the spatial spectrum in order to estimate the DOA of the underwater target.Since the Hadamard product eliminates the phase errors,this estimation is independent of the phase errors.However,it is ambiguous.Afterwards,the phase-error estimate is explored to eliminate the ambiguity and get the correct DOA estimate.The proposed method performs independently of the phase errors and obtains high accuracy.The simulation results and the experimental result demonstrate the proposed method is robust to the phase errors.Furthermore,in the presence of the phase errors,it performs better than the average acoustic intensity method,the CAPON method,and the MUSIC method,in terms of estimation accuracy.In addition,the simulation results indicate that the estimation accuracy of the proposed method approaches to the Cramer-Rao bound(CRB).展开更多
In the scenario of isotropic ambient noise,the inequality between the noise powers of the pressure and velocity channels of a single acoustic vector sensor causes a virtual source for subspace-based methods,which seri...In the scenario of isotropic ambient noise,the inequality between the noise powers of the pressure and velocity channels of a single acoustic vector sensor causes a virtual source for subspace-based methods,which seriously degrades the performance of the conventional multiple signal classification(MUSIC) method.In order to solve this problem,an increased-rank MUSIC method and a weighted-amplitude MUSIC method are presented.The increased-rank MUSIC method augments the dimension of the signal subspace to eliminate the effect of the virtual source.Among the increased-rank,weighted-amplitude,and conventional MUSIC methods,the increased-rank MUSIC method gains the highest estimation accuracy in the cases of one source.Moreover,its performance approaches to the the Cramer-Rao bound(CRB).However,it fails in the case of two sources.The weighted-amplitude MUSIC method weights the amplitude of the received signal to eliminate the virtual source and it can identify two sources.展开更多
基金supported by the National Natural Science Foundation of China (61701133,11674074)the Stable Supporting Fund of Acoustics Science and Technology Laboratory (SSJSWDZC2018003)。
文摘The phase errors among the components of a single acoustic vector sensor cause the direction-of-arrival(DOA) estimation error of the existing methods.In order to address this issue,a DOA estimation method is proposed,which is robust to the phase errors.The proposed method first utilizes the Hadamard product of the principal eigenvector of the covariance matrix of the received signal by the single vector sensor and its conjugate vector to construct the spatial spectrum in order to estimate the DOA of the underwater target.Since the Hadamard product eliminates the phase errors,this estimation is independent of the phase errors.However,it is ambiguous.Afterwards,the phase-error estimate is explored to eliminate the ambiguity and get the correct DOA estimate.The proposed method performs independently of the phase errors and obtains high accuracy.The simulation results and the experimental result demonstrate the proposed method is robust to the phase errors.Furthermore,in the presence of the phase errors,it performs better than the average acoustic intensity method,the CAPON method,and the MUSIC method,in terms of estimation accuracy.In addition,the simulation results indicate that the estimation accuracy of the proposed method approaches to the Cramer-Rao bound(CRB).
基金supported by the National Natural Science Foundation of China(61701133)the Fundamental Research Funds for the Central Universities(HEUCFJ180502,HEUCFM180505)the Stable Supporting Fund of Acoustics Science and Technology Laboratory(SSJSWDZC2018003)
文摘In the scenario of isotropic ambient noise,the inequality between the noise powers of the pressure and velocity channels of a single acoustic vector sensor causes a virtual source for subspace-based methods,which seriously degrades the performance of the conventional multiple signal classification(MUSIC) method.In order to solve this problem,an increased-rank MUSIC method and a weighted-amplitude MUSIC method are presented.The increased-rank MUSIC method augments the dimension of the signal subspace to eliminate the effect of the virtual source.Among the increased-rank,weighted-amplitude,and conventional MUSIC methods,the increased-rank MUSIC method gains the highest estimation accuracy in the cases of one source.Moreover,its performance approaches to the the Cramer-Rao bound(CRB).However,it fails in the case of two sources.The weighted-amplitude MUSIC method weights the amplitude of the received signal to eliminate the virtual source and it can identify two sources.
