Near-Field Localization Based on Exact Model with a Linear COLD Array
Kejun Yin, Chunming Gao, Yun Dai · 2022 IEEE Radar Conference (RadarConf22) · 2022
Many existing near-field source localization algorithms assume simplified models, for example, the Fresnel ap-proximation model. Unlike these works, a new algorithm is herein proposed to localize multiple near-field electromagnetic sources under the exact source-array propagation model. Using the data measured by a linear (not necessarily uniform) cocentered orthogonal loop and dipole (COLD) array, three cumulant matrices are firstly defined to construct two matrix pencils. The magnitudes of the two matrix pencils' generalized eigenvalues are then combined with their phases to extract the direction-of-arrival (DOA) and range estimates of the sources. The key idea of the new algorithm is to use a set of coarse estimates obtained from the magnitudes to resolve the set of ambiguous estimates obtained from the phases. This proposed algorithm is analytic, requires no iterative computations, and does not need to confine the inter-element spacing to be within a quarter wavelength.