Journal of System Simulation
Abstract
Abstract: A new method based on fourth-order cumulant and propagator method for the joint estimation of the range and DOA of spatial near-field sources is presented. The fourth-order cumulant matrix is constructed using the received uniform linear array data, the received signal noise subspace is estimated by propagator method; the range and DOA of spatial near-field sources are gotten through the spectrum peak search method after the MUSIC spectrum function construction. Compared with the traditional MUSIC algorithm, the presented algorithm with the propagator method directly estimates the least squares solution of the noise subspace, rather than conventional orthogonal solution of singular value decomposition algorithm. Although the estimation performance of the presented alogorithm is slightly inferior to the traditional singular value decomposition algorithm, it has lower computational complexity. The simulation results show the proposed method is effective.
Recommended Citation
Liang, Caifeng; Jing, Pan; Ying, Liu; and Xu, Li
(2020)
"Two-dimensional Parameter Estimation of Near Field Sources Based on Propagator Method,"
Journal of System Simulation: Vol. 29:
Iss.
10, Article 45.
DOI: 10.16182/j.issn1004731x.joss.201710045
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol29/iss10/45
First Page
2588
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.201710045
Last Page
2592
CLC
TP391.9
Recommended Citation
Liang Caifeng, Pan Jing, Liu Ying, Li Xu. Two-dimensional Parameter Estimation of Near Field Sources Based on Propagator Method[J]. Journal of System Simulation, 2017, 29(10): 2588-2592.
DOI
10.16182/j.issn1004731x.joss.201710045
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