Abstract
In recent years, sensor networks have shown to be a persistent focus of research due to the rapid development of technology and its wildly use in multiple industries including military, law enforcement, agricultural and forestry-based projects, surveillance, and even information collection. Accordingly, considerable research attention has been devoted to state estimation techniques over sensor networks, not only due to a large number of potential applications but also because they provide more information than traditional communication systems with a single sensor.
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Ma, H., Yan, L., Xia, Y., Fu, M. (2020). Optimal Estimation for Multirate Systems with Unreliable Measurements and Correlated Noise. In: Kalman Filtering and Information Fusion. Springer, Singapore. https://doi.org/10.1007/978-981-15-0806-6_10
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DOI: https://doi.org/10.1007/978-981-15-0806-6_10
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