This paper presents a separate bias estimation algorithm for a class of nonlinear time varying stochastic systems with colored noise, the bias may be nonlinear, random and time varying with some unknown changing law.

In the meanwhile,the departing estimation algorithm of model biases is also presented.

[Results] The values monitored were of logarithmic normal distribution; unbiased estimations of mean and standard deviation of MLE were 34.

By using the theory of judgement as a starting point the condition of unbiased estimation was offered so as to obtain the unbiased estimation of the parameter when loss was strictly convex .

Unbiased estimation performance for finite snapshots is discussed in this paper.

Study on the Restricted Biased Estimation in the Linear Model;

iscusses the problem of linear biased estimation of the parent mean.

To linear regression models Y=Xβ+ε,E(ε)=0,Cov(ε)=σ2V,V>0,the necessary and sufficient condition that biased estimation β*h=(XTV-1X+hI)-1(XTV-1Y+β*) is an admissible estimation is obtained and β*h condition that is superior to ridge estimation is also given.

Research on joint data association and bias estimation method in radar networks;

Taking Earth Centered Earth Fixed(ECEF) coordinate as common grid,this paper discusses bias estimation in 3-D sensor network according to the superposition of the same target in different sensors,the linearized measurement equation of range,range gain,azimuth and elevation deviation of each sensor can be derived via the first order Taylor series expansion.