Three-Dimensional Angle of Arrival Estimation in Dynamic Indoor Terahertz Channels Using a Forward–Backward Algorithm

A novel angle-of-arrival (AoA) estimation method for both azimuth and elevation based on Bayesian inference and statistical state transition probabilities is presented for the dynamic indoor terahertz (THz) channel. A precise AoA estimation is crucial for the deployment of a directive antenna, which...

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Vydáno v:	IEEE transactions on vehicular technology Ročník 66; číslo 5; s. 3798 - 3811
Hlavní autoři:	Peng, Bile, Kurner, Thomas
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.05.2017 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Algorithms Angle of arrival Angle-of-arrival (AoA) estimation Azimuth Background radiation Bayes methods Bayesian analysis Bayesian inference Channel estimation Computer simulation Data transmission Directive antennas Estimation forward–backward algorithm Heuristic algorithms human blockage Human motion Inference algorithms Markov analysis Markov processes Probabilistic inference Statistical inference terahertz (THz) communication Transition probabilities
ISSN:	0018-9545, 1939-9359
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Abstract	A novel angle-of-arrival (AoA) estimation method for both azimuth and elevation based on Bayesian inference and statistical state transition probabilities is presented for the dynamic indoor terahertz (THz) channel. A precise AoA estimation is crucial for the deployment of a directive antenna, which can compensate for the high path loss and reduce the intersymbol interference. In many application scenarios, the user equipment is moved by the user during the data transmission, and the AoA is not constant. The novel algorithm exploits the fact that the AoA movement can be represented as a Markov process and that the Bayesian inference can be used to combine the likelihood and a priori information to provide a more precise estimate than using the likelihood alone. An indoor human movement model is developed to generate the realistic application scenario and obtain the statistical transition probabilities. The forward-backward algorithm is implemented to carry out the Bayesian inference. The algorithm performance is illustrated using the channel models generated by a ray launching simulator. The background log-likelihood is suggested to adapt the algorithm to the instant channel state change in a multipath environment.
AbstractList	A novel angle-of-arrival (AoA) estimation method for both azimuth and elevation based on Bayesian inference and statistical state transition probabilities is presented for the dynamic indoor terahertz (THz) channel. A precise AoA estimation is crucial for the deployment of a directive antenna, which can compensate for the high path loss and reduce the intersymbol interference. In many application scenarios, the user equipment is moved by the user during the data transmission, and the AoA is not constant. The novel algorithm exploits the fact that the AoA movement can be represented as a Markov process and that the Bayesian inference can be used to combine the likelihood and a priori information to provide a more precise estimate than using the likelihood alone. An indoor human movement model is developed to generate the realistic application scenario and obtain the statistical transition probabilities. The forward-backward algorithm is implemented to carry out the Bayesian inference. The algorithm performance is illustrated using the channel models generated by a ray launching simulator. The background log-likelihood is suggested to adapt the algorithm to the instant channel state change in a multipath environment.
Author	Kurner, Thomas Peng, Bile
Author_xml	– sequence: 1 givenname: Bile surname: Peng fullname: Peng, Bile email: Peng@ifn.ing.tu-bs.de organization: Inst. fur Nachrichtentechnik, Tech. Univ. Braunschweig, Braunschweig, Germany – sequence: 2 givenname: Thomas surname: Kurner fullname: Kurner, Thomas email: Kuerner@ifn.ing.tu-bs.de organization: Inst. fur Nachrichtentechnik, Tech. Univ. Braunschweig, Braunschweig, Germany
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SubjectTerms	Algorithms Angle of arrival Angle-of-arrival (AoA) estimation Azimuth Background radiation Bayes methods Bayesian analysis Bayesian inference Channel estimation Computer simulation Data transmission Directive antennas Estimation forward–backward algorithm Heuristic algorithms human blockage Human motion Inference algorithms Markov analysis Markov processes Probabilistic inference Statistical inference terahertz (THz) communication Transition probabilities
Title	Three-Dimensional Angle of Arrival Estimation in Dynamic Indoor Terahertz Channels Using a Forward–Backward Algorithm
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