Constructive neural-networks-based MEMS/GPS integration scheme
- 15 July 2008
- journal article
- research article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Aerospace and Electronic Systems
- Vol. 44 (2), 582-594
- https://doi.org/10.1109/taes.2008.4560208
Abstract
This article exploits the idea of developing an alternative data fusion scheme that integrates the outputs of low-cost micro-electro-mechanical systems (MEMS) inertial measurements units (IMUs) and receivers of the global positioning system (GPS). The proposed scheme is implemented using a constructive neural network (cascade-correlation network (CCNs)) to overcome the limitations of conventional techniques that are predominantly based on the Kalman filter (KF). The CNN applied in this research has the advantage of having a flexible topology if compared with the recently utilized multi-layer feed-forward neural networks (MFNNs) for inertial navigation system (INS)/GPS integration. The preliminary results presented in this article illustrate the effectiveness of proposed CCNs over both MFNN-based and Kalman filtering techniques for INS/GPS integration.Keywords
This publication has 10 references indexed in Scilit:
- Online INS/GPS integration with a radial basis function neural networkIEEE Aerospace and Electronic Systems Magazine, 2005
- A new weight updating method for INS/GPS integration architectures based on neural networksMeasurement Science and Technology, 2004
- Fuzzy corrections in a GPS/INS hybrid navigation systemIEEE Transactions on Aerospace and Electronic Systems, 2004
- Observability of an integrated GPS/INS during maneuversIEEE Transactions on Aerospace and Electronic Systems, 2004
- Sigma-Point Kalman Filters for Nonlinear Estimation and Sensor-Fusion: Applications to Integrated NavigationPublished by American Institute of Aeronautics and Astronautics (AIAA) ,2004
- FLEXnav: fuzzy logic expert rule-based position estimation for mobile robots on rugged terrainPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Multisensor integration using neuron computing for land-vehicle navigationGPS Solutions, 2003
- Neural Networks for Pattern RecognitionPublished by Oxford University Press (OUP) ,1995
- The Upstart Algorithm: A Method for Constructing and Training Feedforward Neural NetworksNeural Computation, 1990
- Learning in feedforward layered networks: the tiling algorithmJournal of Physics A: General Physics, 1989