Improving the Body Area Line-of-Sight Density Model: A Theoretical Study | Zendy

Xiaodong Yang | Zendy; Zhiya Zhang | Zendy; Shuyuan Yang | Zendy; Qammer H. Abbasi | Zendy; Wei Zhao | Zendy

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Improving the Body Area Line-of-Sight Density Model: A Theoretical Study

Author(s) -

Xiaodong Yang,

Zhiya Zhang,

Shuyuan Yang,

Qammer H. Abbasi,

Wei Zhao

Publication year - 2013

Publication title -

international journal of antennas and propagation

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.282

H-Index - 37

eISSN - 1687-5877

pISSN - 1687-5869

DOI - 10.1155/2013/827904

Subject(s) - correctness , line (geometry) , characterization (materials science) , computer science , statistical analysis , statistical model , line of sight , non line of sight propagation , sight , algorithm , simulation , telecommunications , statistics , engineering , artificial intelligence , mathematics , optics , aerospace engineering , physics , geometry , wireless

The statistical model plays an important role in BAN radio propagation characterization. However, a traditional least-square statistical model is not necessarily the best choice when only limited samples can be collected. This paper proposes the method for improving the density model in BAN radio propagation characterization; the final PDF result validates the correctness of the method

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