Abstract
This paper considers the near-field source location problem for a nonuniform linear array (non-ULA) in the presence of sensor gain and phase errors. A sequential optimization calibration method is proposed to simultaneously estimate the gain and phase errors as well as the locations of calibration sources involving the ranges and the azimuths by exploiting some imprecise a-priori knowledge of calibration sources. At each iteration of the proposed method, the source locations, and the gain and phase errors are obtained iteratively. Finally, at the analysis stage, we evaluate the effectiveness of the proposed technique using some numerical simulations. Results show that the proposed algorithm shares the capability to jointly estimate the source locations and the errors.
Highlights
Source localization with sensor arrays has broad applications in aerospace, navigation and wireless acoustic sensor network societies [1,2,3,4,5,6]
We suppose that the non-uniform linear array (ULA) composes of M = 12 isotropous elements randomly placed in the array aperture D = 100 m with the working wavelength λ = 0.15 m and N = 1000
We focus on jointly estimating the array gain and phase errors and source locations using the imprecise location knowledge of calibration sources
Summary
Source localization with sensor arrays has broad applications in aerospace, navigation and wireless acoustic sensor network societies [1,2,3,4,5,6]. In the case of the near-field scenario, the steering vector involves the knowledge of both the azimuths and the ranges Some works, such as [25,26,27,28,29,30,31], have been presented to obtain the ranges and DOAs of the sources but with perfect knowledge of the array manifold. We consider the near-field source location problem for a non-ULA in the presence of sensor gain and phase errors. It is worth pointing out that the proposed method exploits the imprecise knowledge of calibration sources to estimate gain and phase errors.
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