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  1. Contributions to radio frequency indoorpositioning and through-the-wall mapping

    The first part of this work introduces a novel machine-learning based location engine aiming at improving floor identification accuracy in radio frequency (RF) multi-floor indoor positioning while preserving a low two-dimensional positioning error. The location engine also reduces the position fix …

    brazil-uerj Repository record for Contributions to radio frequency indoorpositioning and through-the-wall mapping (opens in a new tab)