A Multisensor Fusion-Based Cooperative Localization Scheme in Vehicle Networks

Utilizing the measured distance and information exchanged between two different nodes to cooperatively locate in a mobile network has become solution replace global navigation satellite system (GNSS) positioning. However, localization accuracy of belief propagation-based cooperative scheme is substantially influenced by number neighbors. In this paper, we propose combined with trajectory tracking algorithm. With an insufficient neighbors, algorithm utilized participate positioning process agents. Concretely, carry out sensor fusion utilize quantum-behaved, particle-swarm-optimized, bidirectional long short-term memory (QPSO–BiLSTM) as strategy, precisely predict positions It evident from simulations results that proposed performs better than propagation (BP)-based position error.