Guest EditorialLocation-Awareness for Radios and Networks, Part II

IN July 2015, Part I of “Location-Awareness for Radios and Networks” special issue has been published. This second part will continue with the state-of-the-art in technology, regulation, and theory for the emerging field of localization. The remaining fourteen articles are summarized below. The first article entitled “Sectorized Antenna-based DoA Estimation and Localization: Advanced Algorithms and Measurements” by Werner et al. proposes a novel high performance direction-of-arrival (DoA) estimator for sectorized antennas, that does not require cooperation between the transmitter and the localizing network. This DoA estimator is broadly applicable with different sectorized antenna types and signal waveforms, and has low computational complexity. Using computer simulations, authors show that the proposed algorithm approaches the respective Cramér-Rao lower bound for DoA estimation variance if the signal-to-noise ratio (SNR) is moderate to large. Xiao et al. consider the fusion of pedestrian dead reckoning (PDR) with map information, and propose a human motion classification to aid PDR in the second article, “Robust Indoor Positioning with Lifelong Learning.” Bi-directional information flow between PDR and map matching is enabled through life-long learning, resulting in sub-meter accuracy. Van de Velde et al., in the third article “Improved Censoring and NLOS Avoidance for Wireless Localization in Dense Networks,” focus on cooperative localization, which can achieve good performance but at the cost of delay and energy. A method is proposed to limit the amount of cooperation, while still achieving good performance. This method relies on a combination of CRB-based censoring and NLOS avoidance.