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Satellite Localization of IoT Devices Using Signal Strength and Doppler Measurements

Iza S. Mohamad Hashim, Akram Al‐Hourani, Branko Ristić

2022IEEE Wireless Communications Letters27 citationsDOI

Abstract

Determining the location of wireless devices is vital in many applications. However, global navigation satellite system technologies require a dedicated hardware module installed in the device, imposing additional power and cost constraints. This letter presents a framework to passively localize ground wireless devices by a constellation of satellites using only the signal strength and Doppler measurements. We derive the likelihood of the measurements and then compare two methods: first by applying a stochastic optimizer, namely simulated annealing, and second using Markov Chain Monte Carlo (MCMC) algorithm to draw a sample distribution of the estimated location and the device Equivalent Isotropic Radiated Power (EIRP). Simulation results under realistic Internet-of-things scenarios show that reliable IoT device localization can be achieved using several satellites.

Topics & Concepts

Computer scienceSatelliteMarkov chain Monte CarloWirelessDoppler effectReal-time computingSimulated annealingMonte Carlo methodMarkov chainElectronic engineeringAlgorithmTelecommunicationsEngineeringArtificial intelligenceAerospace engineeringBayesian probabilityPhysicsMathematicsAstronomyMachine learningStatisticsIndoor and Outdoor Localization TechnologiesSatellite Communication SystemsGNSS positioning and interference
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