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A Gridless Indoor Electric Equipment Localization Algorithm for Power Internet of Things

Locating the electric equipment is a critical issue in power internet of things. In indoor environment, the problem of localization becomes difficult, because the equipments are in the near-field (NF) region of the array. In this paper, we focus on locating the electric equipments in NF indoor environment. A fourth-order cumulant matrix is constructed to decouple the angle and range parameters firstly. Then, the covariance matching criterion is employed to find the two parameters without discretizing the angle or range spaces. Simulation test is carried out to evaluate the performance of our method.