Báo cáo hóa học: " TSaT-MUSIC: a novel algorithm for rapid and accurate ultrasonic 3D localization"

Tuyển tập các báo cáo nghiên cứu về hóa học được đăng trên tạp chí hóa hoc quốc tế đề tài : TSaT-MUSIC: a novel algorithm for rapid and accurate ultrasonic 3D localization | Mizutani et al. EURASIP Journal on Advances in Signal Processing 2011 2011 101 http content 2011 1 101 o EURASIP Journal on Advances in Signal Processing a SpringerOpen Journal RESEARCH Open Access TSaT-MUSIC a novel algorithm for rapid and accurate ultrasonic 3D localization Kyohei Mizutani1 Toshio Ito1 Masanori Sugimoto1 and Hiromichi Hashizume2 Abstract We describe a fast and accurate indoor localization technique using the multiple signal classification MUSIC algorithm. The MUSIC algorithm is known as a high-resolution method for estimating directions of arrival DOAs or propagation delays. A critical problem in using the MUSIC algorithm for localization is its computational complexity. Therefore we devised a novel algorithm called Time Space additional Temporal-MUSIC which can rapidly and simultaneously identify DOAs and delays of mul-ticarrier ultrasonic waves from transmitters. Computer simulations have proved that the computation time of the proposed algorithm is almost constant in spite of increasing numbers of incoming waves and is faster than that of existing methods based on the MUSIC algorithm. The robustness of the proposed algorithm is discussed through simulations. Experiments in real environments showed that the standard deviation of position estimations in 3D space is less than 10 mm which is satisfactory for indoor localization. Keywords MUSIC-Algorithm Ultrasound Adaptive Array Computational Complexity 3D Localization DOA-Delay Estimation 1 Introduction In recent years localization techniques have attracted considerable attention in ubiquitous computing have been many studies on localizing objects by using ultrasonic signals for example indoor positioning 1-3 or robotics 4 5 . There are several requirements for localization techniques including accuracy robustness and ease of deployment. We propose a new localization technique using the Time Space additional Temporal MUSIC TSaT-MUSIC algorithm a variant

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