To cope with the scenario where both uncorrelated sources and coherent sources coexist, a novel algorithm to direction of arrival （DOA） estimation for symmetric uniform linear array is presented. Under the condition...To cope with the scenario where both uncorrelated sources and coherent sources coexist, a novel algorithm to direction of arrival （DOA） estimation for symmetric uniform linear array is presented. Under the condition of stationary colored noise field, the algorithm employs a spatial differencing method to eliminate the noise covariance matrix and uncorrelated sources, then a Toeplitz matrix is constructed for the remained coherent sources. After preprocessing, a propagator method （PM） is employed to find the DOAs without any eigendecomposition. The number of sources resolved by this approach can exceed the number of array elements at a lower computational complexity. Simulation results demonstrate the effectiveness and efficiency of the proposed method.展开更多
This paper links parallel factor（PARAFAC） analysis to the problem of nominal direction-of-arrival（DOA） estimation for coherently distributed（CD） sources and proposes a fast PARAFACbased algorithm by establishing...This paper links parallel factor（PARAFAC） analysis to the problem of nominal direction-of-arrival（DOA） estimation for coherently distributed（CD） sources and proposes a fast PARAFACbased algorithm by establishing the trilinear PARAFAC model.Relying on the uniqueness of the low-rank three-way array decomposition and the trilinear alternating least squares regression, the proposed algorithm achieves nominal DOA estimation and outperforms the conventional estimation of signal parameter via rotational technique CD（ESPRIT-CD） and propagator method CD（PM-CD）methods in terms of estimation accuracy. Furthermore, by means of the initialization via the propagator method, this paper accelerates the convergence procedure of the proposed algorithm with no estimation performance degradation. In addition, the proposed algorithm can be directly applied to the multiple-source scenario,where sources have different angular distribution shapes. Numerical simulation results corroborate the effectiveness and superiority of the proposed fast PARAFAC-based algorithm.展开更多
A propagator-based algorithm for direction of arrival(DOA)estimation of noncoherent one-dimensional(1-D)non-circular sources is presented such as binary phase shift keying(BPSK)and amplitude modulation(AM).The algorit...A propagator-based algorithm for direction of arrival(DOA)estimation of noncoherent one-dimensional(1-D)non-circular sources is presented such as binary phase shift keying(BPSK)and amplitude modulation(AM).The algorithm achieves DOA estimation through searching a 1-D spectrum,which is newly formed on the basis of the rank reduction criterion,and works well without knowledge of the non-circular phases.And then,a search-free implementation of the algorithm is also developed by using the polynomial rooting technique.According to the non-circular property,the algorithm can virtually enlarge the array aperture,thus significantly improving its estimation accuracy and enabling it to handle more sources than the number of sensors.Moreover,the algorithm requires no rotational invariance,so it can be applied to arbitrary array geometry and dispense with the high-complexity procedure of the eigen-decomposition of the correlation sample matrix.Finally,numerical simulations verify the performance and effectiveness of the proposed algorithm.展开更多
换流变压器户外噪声预测的准确与否直接影响着高压直流换流站的噪声评价和后续的噪声控制,目前户外噪声预测计算中因忽略了声线在边界多次反射产生的干涉效应,对噪声预测结果影响往往较大。因此在虚源法的基础上,通过对各虚源间的相干求...换流变压器户外噪声预测的准确与否直接影响着高压直流换流站的噪声评价和后续的噪声控制,目前户外噪声预测计算中因忽略了声线在边界多次反射产生的干涉效应,对噪声预测结果影响往往较大。因此在虚源法的基础上,通过对各虚源间的相干求和,考虑了声线多次反射形成的无限个虚源间的干涉效应,同时将各个不同的边界阻抗率加入到模型中去,建立了换流变压器的半开空间相干虚源模型。并应用该模型对某一具体换流变压器组的辐射声场进行计算,通过边界元模型、ISO9613模型计算结果与实测值进行对比。结果表明,该相干预测模型与边界元模型因考虑了相位信息,都能反映出声波在不同位置处的传播趋势,且2者计算结果基本一致,与实测值相比平均绝对误差<2 d B,ISO9613模型平均绝对误差则达到6 d B;而该研究提出的模型与边界元法相比,计算效率提高了约95倍,证明了所提理论模型的准确性和适用性,可应用于大范围的户外噪声预测计算。展开更多
基金the National Natural Science Foundation of China (60601016)
文摘To cope with the scenario where both uncorrelated sources and coherent sources coexist, a novel algorithm to direction of arrival （DOA） estimation for symmetric uniform linear array is presented. Under the condition of stationary colored noise field, the algorithm employs a spatial differencing method to eliminate the noise covariance matrix and uncorrelated sources, then a Toeplitz matrix is constructed for the remained coherent sources. After preprocessing, a propagator method （PM） is employed to find the DOAs without any eigendecomposition. The number of sources resolved by this approach can exceed the number of array elements at a lower computational complexity. Simulation results demonstrate the effectiveness and efficiency of the proposed method.
基金supported by the National Natural Science Foundation of China(6137116961601167)+2 种基金the Jiangsu Natural Science Foundation(BK20161489)the open research fund of State Key Laboratory of Millimeter Waves,Southeast University(K201826)the Fundamental Research Funds for the Central Universities(NE2017103)
文摘This paper links parallel factor（PARAFAC） analysis to the problem of nominal direction-of-arrival（DOA） estimation for coherently distributed（CD） sources and proposes a fast PARAFACbased algorithm by establishing the trilinear PARAFAC model.Relying on the uniqueness of the low-rank three-way array decomposition and the trilinear alternating least squares regression, the proposed algorithm achieves nominal DOA estimation and outperforms the conventional estimation of signal parameter via rotational technique CD（ESPRIT-CD） and propagator method CD（PM-CD）methods in terms of estimation accuracy. Furthermore, by means of the initialization via the propagator method, this paper accelerates the convergence procedure of the proposed algorithm with no estimation performance degradation. In addition, the proposed algorithm can be directly applied to the multiple-source scenario,where sources have different angular distribution shapes. Numerical simulation results corroborate the effectiveness and superiority of the proposed fast PARAFAC-based algorithm.
基金supported in part by Funding for Outstanding Doctoral Dissertation in Nanjing University of Aeronautics and Astronautics (No. BCXJ15 03)the Funding of Jiangsu Innovation Program for Graduate Education (No. KYLX15_0281)the Fundamental Research Funds for the Central Universities
文摘A propagator-based algorithm for direction of arrival(DOA)estimation of noncoherent one-dimensional(1-D)non-circular sources is presented such as binary phase shift keying(BPSK)and amplitude modulation(AM).The algorithm achieves DOA estimation through searching a 1-D spectrum,which is newly formed on the basis of the rank reduction criterion,and works well without knowledge of the non-circular phases.And then,a search-free implementation of the algorithm is also developed by using the polynomial rooting technique.According to the non-circular property,the algorithm can virtually enlarge the array aperture,thus significantly improving its estimation accuracy and enabling it to handle more sources than the number of sensors.Moreover,the algorithm requires no rotational invariance,so it can be applied to arbitrary array geometry and dispense with the high-complexity procedure of the eigen-decomposition of the correlation sample matrix.Finally,numerical simulations verify the performance and effectiveness of the proposed algorithm.
文摘换流变压器户外噪声预测的准确与否直接影响着高压直流换流站的噪声评价和后续的噪声控制,目前户外噪声预测计算中因忽略了声线在边界多次反射产生的干涉效应,对噪声预测结果影响往往较大。因此在虚源法的基础上,通过对各虚源间的相干求和,考虑了声线多次反射形成的无限个虚源间的干涉效应,同时将各个不同的边界阻抗率加入到模型中去,建立了换流变压器的半开空间相干虚源模型。并应用该模型对某一具体换流变压器组的辐射声场进行计算,通过边界元模型、ISO9613模型计算结果与实测值进行对比。结果表明,该相干预测模型与边界元模型因考虑了相位信息,都能反映出声波在不同位置处的传播趋势,且2者计算结果基本一致,与实测值相比平均绝对误差<2 d B,ISO9613模型平均绝对误差则达到6 d B;而该研究提出的模型与边界元法相比,计算效率提高了约95倍,证明了所提理论模型的准确性和适用性,可应用于大范围的户外噪声预测计算。
