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- Title
Fast Estimation of Range and Bearing for a Single Near-field Source without Eigenvalue Decomposition.
- Authors
Hao Chen; Zhaohui Wu; Lu Gan; Xiaoming Liu; Jinji Ma
- Abstract
In this paper, a fast range and bearing estimation method for a single near-field source is proposed. By constructing the covariance matrix of received data, the phase containing the information of range and the direction of arrival is extracted. Finally, the phase is rewritten as matrix form, and the closed-formed solution of range and bearing of the source can be calculated by least square method. In contrast to high-order statistics based methods, the proposed method can obtain the range and bearing estimation without eigenvalue decomposition and spectral search, which remarkably reduce computational complexity. Simulation results show the proposed method can provide improved estimation accuracy and higher efficiency.
- Subjects
COVARIANCE matrices; DIRECTION of arrival estimation; LEAST squares; EIGENVALUES; COMPUTATIONAL complexity
- Publication
IAENG International Journal of Applied Mathematics, 2018, Vol 48, Issue 4, p132
- ISSN
1992-9978
- Publication type
Article