Adaptive extended Kalman filtering for bearing - Only underwater emitter location in modified polar coordinate

被引：0

作者：

Gao, L. ^{[1
]}

Xu, D. ^{[1
]}

Ren, Z. ^{[1
]}

机构：

[1] College of Marine Engineering, Northwestern Polytechnical Univ., Xi'an 710072, China

来源：

Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2001年 / 23卷 / 05期

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摘要：

Concerning the problem of instability, slow convergence and low accuracy of passive filter in underwater emitter location, an adaptive extended Kalman filter (AEKF) algorithm in modified polar coordinate is presented. Owing to estimate the statistics of virtual noise on-line, it overcomes the bad affect caused by linearization of nonlinear dynamic model. Simulation results show that the AEKF performs better in aspects of convergence, tracking accuracy and stability.

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页码：8 / 10