Xu Yuan-Xin, Wang An-Guo, Nie Zhong-Er. Joint Multi-parameters Estimation of Near-field and Far-field Sources Based on the Fourth Order Cumulant[J]. Journal of Electronics & Information Technology, 2011, 33(6): 1379-1384. doi: 10.3724/SP.J.1146.2010.01311
Citation:
Xu Yuan-Xin, Wang An-Guo, Nie Zhong-Er. Joint Multi-parameters Estimation of Near-field and Far-field Sources Based on the Fourth Order Cumulant[J]. Journal of Electronics & Information Technology, 2011, 33(6): 1379-1384. doi: 10.3724/SP.J.1146.2010.01311
Xu Yuan-Xin, Wang An-Guo, Nie Zhong-Er. Joint Multi-parameters Estimation of Near-field and Far-field Sources Based on the Fourth Order Cumulant[J]. Journal of Electronics & Information Technology, 2011, 33(6): 1379-1384. doi: 10.3724/SP.J.1146.2010.01311
Citation:
Xu Yuan-Xin, Wang An-Guo, Nie Zhong-Er. Joint Multi-parameters Estimation of Near-field and Far-field Sources Based on the Fourth Order Cumulant[J]. Journal of Electronics & Information Technology, 2011, 33(6): 1379-1384. doi: 10.3724/SP.J.1146.2010.01311
A new algorithm for jointly estimating multi-parameters (the frequency, Direction Of Arrival (DOA) and range) of sources is proposed. The proposed algorithm does not require spectral peak search, and can be applied to arbitrary Gaussian noise environment. It can reduce the aperture loss. Moreover, the fourth order cumulant matrices are constructed using the special sensor outputs, and the rank reduction of matrices can be avoided when the far-field sources impinging on an array of sensors. So the proposed algorithm can be used to estimate the parameters of near-field, far-field and mixed sources. The performance of the proposed method is validated by simulations.