一类非线性系统输出偏差的伪分离估计算法

PSEUDO SEPARATED—BIAS ESTIMATION FOR A CLASS OF NONLINEAR SYSTEMS WITH OUTPUT BIAS

首先把Friedland的用于线性时不变系统定常偏差的分离估计算法推广到一类存有输出偏差的非线性系统,得到了一种处理定常偏差的伪分离估计算法,随后,应用作者提出的正交性原理,又提出一种可估计大范围时变偏差的伪分离估计算法,进一步发展了Friedland的偏差分离估计理论,使得扩展Kalman滤波器更便于实际应用,仿真实例证实了本文算法的有效性。

Friedland's separated-bias estimation algorithm for linear systems is extended to a class of nonlinear systems with output bias. Based on the orthogonality principle proposed by the authors, a pseudo separated-bias estimation algorithm for time-variant bias changing in large region is further proposed. These not only develop friedland's separated-bias estimation theory, but also make it easier to apply for the extended Kalman filter. The effectiveness of the proposed algorithm is demonstrated by computer simulation.