Linear estimation of wireless sensor networks with unknown inputs in the presence of data packet drops

In this paper, we focus on the problem of state estimation for wireless sensor networks with data packet drops and unknown inputs. The data packet drops process is represented by a series of independent random vectors which conform to Bernoulli distribution. We design a traditional unbiased estimator and an estimator with time stamp by the method of minimum mean squared error, and then we give examples to verify the correctness of our design.