Journal
IEEE ACCESS
Volume 8, Issue -, Pages 44041-44047Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2020.2978298
Keywords
Azimuth; Antenna arrays; Antenna measurements; Loss measurement; Maximum likelihood estimation; Geometry; Non-line-of-sight (NLOS); weighted least squares (WLS); received signal strength (RSS); time of arrival (TOA); azimuth angle
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Funding
- Fundacao para a Ciencia e a Tecnologia [IF/00325/2015, foRESTER PCIF/SSI/0102/2017, UIDB/04111/2020]
- Universidade Lusofona/ILIND internal project TESLA
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This work addresses target localization problem in precarious surroundings where possibly no links are line of sight. It exploits the known architecture of available reference points to act as an irregular antenna array in order to estimate the azimuth angle between a reference point and a target, based on distance estimates withdrawn from integrated received signal strength (RSS) and time of arrival (TOA) observations. These fictitious azimuth angle observations are then used to linearize the measurement models, which triggers effortless derivation of a new estimator in a closed-form. It is shown here that, by using fixed network geometry in which target orientation with respect to a line formed by a pair of anchors can be correctly estimated, the localization performance can be significantly enhanced. The new approach is validated through computer simulations, which corroborate our intuition of profiting from inherent information within a network.
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