6533b7d9fe1ef96bd126cdd0

RESEARCH PRODUCT

Estimation of the Velocity of a Walking Person in Non-Stationary Indoor Environments from the Received RF Signal

Matthias PatzoldNeji YoussefRym Hicheri

subject

EstimationComputer sciencebusiness.industryMIMO020206 networking & telecommunications020207 software engineering02 engineering and technologyChannel modelsMotion (physics)Channel gain0202 electrical engineering electronic engineering information engineeringSpectrogramWirelessComputer visionArtificial intelligenceRadio frequencybusiness

description

Accurate estimation of the time-variant (TV) velocity, i.e., TV speed and TV direction of motion, of walking persons in indoor environment is of great importance in a variety of wireless indoor applications. This paper presents a novel method for estimating the velocity of a walking person in three-dimensional indoor environments, which are assumed to be equipped with a distributed 3 × 3 multiple-input multiple-output (MIMO) system. The approach estimates the TV speed, TV vertical angle-of-motion (VAOM), and TV horizontal angle-of-motion (HAOM) by fitting the spectrogram of the complex channel gain of a non-stationary indoor channel model to the spectrogram obtained from the received radio signals. The validity of the estimation algorithm has been confirmed by comparing the estimated parameters of interest with their corresponding exact values, known from generated test signals.

http://hdl.handle.net/11250/2594882