Cascading filtered DTS data into a loosely-coupled GPS/INS system

Data fusion is generally defined as the application of methods that combines data from multiple sources and collect information in order to get conclusions. This paper analyzes the signalling time of different data fusion filter models available in the literature with the new community model. The signalling time is calculated based on the data transmission time and processing delay. These parameters reduce the signalling burden on master fusion filter and improves throughput. A comparison of signalling time of the existing data fusion models along with the new community model has also been presented in this paper. The results show that our community model incurs improvement with respect to the existing models in terms of signalling time.

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Cascading filtered DTS data into a loosely-coupled GPS/INS system

Cited by 3 publications

References 4 publications

Data Transmission Cost Evaluation of MLFFA – A Novel Multi-Level Federated Filter Architecture

Data Transmission Cost Evaluation of MLFFA – A Novel Multi-Level Federated Filter Architecture

Delivery time delay analysis of MLFFA based on queuing model

Analysis of Signalling Time of Community Model

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