Decoupled 3-D Near-Field Source Localization with UCA via Centrosymmetric Subarrays

Kwon, Bum-Soo; Jung, Taejin; Shin, Changhong; Lee, Kyun-Kyung

doi:10.1587/transcom.e94.b.3143

Cited by 2 publications

(2 citation statements)

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“…It can be noticed that these two zones are almost overlapped and the simulation results accord with analytical expression. It should be pointed out that there exists a threshold of source's range for accurate 3D localization since a sufficiently large value of source's range is relative to array radius to ensure the feasible approximation in (5) and (13). In Figure 3(b), the number of sensors is = 8, the employed space between sensors is = 3, and other typical scenario settings keep unchanged.…”

Section: Comparison Of Unambiguous Parameter Estimation Zonementioning

confidence: 99%

“…Passive source localization using an array of sensors has numerous key applications for wireless communication, electron reconnaissance, astronomy, smart antennas, etc. [1][2][3][4][5]. A uniform circular array (UCA) has advantages over the other array geometries due to its 360 ∘ azimuth coverage, an almost identical beamwidth, and additional elevation angle information [6][7][8][9][10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

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Ambiguity Analysis and Resolution for Phase-Based 3D Source Localization under Given UCA

Liu

Chen

Wei

et al. 2019

International Journal of Antennas and Propagation

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Under uniform circular array, by employing some algebraic schemes to exploit the phase information of receiving data and further estimate the source’s three-dimensional (3D) parameters (azimuth angle, elevation angle, and range), a series of novel phase-based algorithms with low computational complexity have been proposed recently. However, when the array diameter is larger than source’s half-wavelength, these algorithms would suffer from phase ambiguity problem. Even so, there always exist certain positions, where the source’s parameters can still be determined with nonambiguity. Therefore, this paper first investigates the zone of ambiguity-free source 3D localization using phase-based algorithms. For the ambiguous zone, a novel ambiguity resolution algorithm named ambiguity traversing and cosine matching (ATCM) is presented. In ATCM, the phase differences of centrosymmetric sensors under different ambiguities are utilized to match a cosine function with sensor number-varying, and the source’s unambiguous rough angles can be derived from amplitude and initial phase of the cosine function. Then, the unambiguous angles are employed to resolve the phase ambiguity of the phase-based 3D parameter estimation algorithm, and the source’s range as well as more precise angles can be achieved. Theoretical analyses and numerical examples show that, apart from array diameter and source’s frequency, the sensor number and spacing of employed sensors are two key factors determining the unambiguous zone. Moreover, simulation results demonstrate the effectiveness and satisfactory performance of our proposed ambiguity resolution algorithm.

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Section: Comparison Of Unambiguous Parameter Estimation Zonementioning

confidence: 99%