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Noise reduction for variance-based radio tomographic localization

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2 Author(s)
Yang Zhao ; Dept. of Electr. & Comput. Eng., Univ. of Utah, Salt Lake City, UT, USA ; Patwari, N.

We propose to demonstrate a new radio tomographic localization algorithm - subspace variance-based radio tomography (SubVRT), which is more robust to RSS variations caused by objects that are intrinsic parts of the environment. We first introduce the subspace decomposition method, then we derive the formulations of SubVRT, and finally we describe the demonstration setup, requirements and procedures.

Published in:

Sensor, Mesh and Ad Hoc Communications and Networks (SECON), 2011 8th Annual IEEE Communications Society Conference on

Date of Conference:

27-30 June 2011

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