6533b836fe1ef96bd12a1346

RESEARCH PRODUCT

Estimation of the Velocity of Multiple Moving Persons in Non-Stationary Indoor Environments from Received RF Signals

Rym HicheriMatthias Patzold

subject

Matching (graph theory)Computer scienceAcousticsMIMOPath (graph theory)0202 electrical engineering electronic engineering information engineeringSpectrogram020206 networking & telecommunications020207 software engineering02 engineering and technologyRadio frequencyVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550Communication channel

description

This paper presents a new accurate iterative procedure to estimate the time-variant (TV) velocity, i.e., TV speed, TV vertical angle-of- motion (VAOM), and TV horizontal angle-of-motion (HAOM), of multiple moving objects/persons in three-dimensional (3D) non-stationary indoor propagation environments. The indoor space is assumed to be equipped with a distributed 3x3 multiple-input multiple-output (MIMO) system. The proposed procedure focuses on estimating the TV speed, TV VAOM, and TV HAOM by matching the spectrogram of the complex channel gain of a non- stationary indoor channel model to the spectrogram obtained from received radio frequency (RF) signals. Together with the velocity parameters, this method estimates all channel parameters, such as path gains, phases, etc. Numerical examples are presented to validate the proposed estimation algorithm by comparing the estimated parameters of interest with their corresponding exact quantities.

yearjournalcountryeditionlanguage
2019-04-012019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring)
https://doi.org/10.1109/vtcspring.2019.8746693