Abstract
This paper is devoted to solving the state estimation problem for systems with unknown measurement input and missing measurement. The missing measurement phenomenon is described by a series of mutually independent random variables obeying a certain Bernoulli distribution. Firstly, our aim is to design an linear filter by applying the minimum variance unbiased estimation technique. Then, we also derive a suboptimal estimator by utilizing the time stamp technology in sensor networks. Finally, an example is supplied to show the effectiveness of the proposed filters.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have