Data Fusion Using Bayesian Inference for Enhanced Positioning

Implementation of Bayesian inference-based data fusion to process results from CHAN and Taylor algorithms, achieving improved localization accuracy and reliability through probabilistic integration.

Bayesian Inference-Based Data Fusion for Enhanced Positioning

Utilizes Bayesian inference to process the outputs of CHAN and Taylor algorithms, achieving superior localization results through probabilistic data fusion. Validated through comprehensive testing with implementation involving Gaussian likelihood modeling and posterior probability optimization.