This paper investigates the joint interference source separation and geolocation problem, where the receiver is a vehicle with a known trajectory.
The method of Bayesian variable selection via penalized credible regions separates model fitting and variable selection. The idea is to search for the sparsest ...
Abstract—This paper investigates the joint interference source separation and geolocation problem, where the receiver is a vehicle with a known trajectory.
The method according to claim 9, wherein the step of separating the interference sources uses joint Bayesian clustering method, and the step of estimating the ...
Probabilistic Positioning via Ray Tracing With ... Joint interference sources separation and geolocation for vehicular systems using Bayesian inference.
Optimal Sensing Policy With Interference-Model ... Joint interference sources separation and geolocation for vehicular systems using Bayesian inference.
... using ray tracing with noisy angle of arrival (AoA) ... Joint interference sources separation and geolocation for vehicular systems using Bayesian inference.
Joint interference sources separation and geolocation for vehicular systems using Bayesian inference · Computer Science, Engineering. IEEE International ...
... by maximum- likelihood estimation. -. Sequential method: by using the Bayesian inference, the source separation is progressively solved by one meas- urement ...
The main aim of this paper is first to present the Bayesian inference approach for sources separation where we want to infer on the mixing matrix, ...
Missing: interference geolocation vehicular