作者: Alexander M. Haimovich , Nil Garcia , Jason A. Dabin , Martial Coulon
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摘要: Localization of radio frequency sources over multipath channels is a difficult problem arising in applications such as outdoor or indoor gelocation. Common approaches that combine ad-hoc methods for mitigation with indirect localization relying on intermediary parameters time-of-arrivals, time difference arrivals received signal strengths, provide limited performance. This work models the known waveforms unknown sparse framework, and develops direct approach which multiple are localized jointly, directly from observations obtained at distributed sources. The proposed exploits channel properties enable to distinguish line-of-sight (LOS) non-LOS paths. Theoretical guarantees established correct recovery sources' locations by atomic norm minimization. A second-order cone-based algorithm developed produce optimal decomposition, it shown high accuracy location estimates complex scenes, subject diverse conditions, including lack LOS.