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

L. Gao; D. Xu; Z. Ren

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

L. Gao^*
, D. Xu
, Z. Ren

^*Corresponding author for this work

Northwestern Polytechnical University Xian

Research output: Contribution to journal › Article › peer-review

Abstract

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.

Original language	English
Pages (from-to)	8-10+54
Journal	Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics
Volume	23
Issue number	5
State	Published - May 2001
Externally published	Yes

Keywords

Kalman filtering
Polar coordinate
Underwater object locator

Cite this

@article{7eef392bc2b9461aa9724d419a147071,

title = "Adaptive extended Kalman filtering for bearing - Only underwater emitter location in modified polar coordinate",

abstract = "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.",

keywords = "Kalman filtering, Polar coordinate, Underwater object locator",

author = "L. Gao and D. Xu and Z. Ren",

year = "2001",

month = may,

language = "英语",

volume = "23",

pages = "8--10+54",

journal = "Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics",

issn = "1001-506X",

publisher = "Chinese Institute of Electronics",

number = "5",

}

TY - JOUR

T1 - Adaptive extended Kalman filtering for bearing - Only underwater emitter location in modified polar coordinate

AU - Gao, L.

AU - Xu, D.

AU - Ren, Z.

PY - 2001/5

Y1 - 2001/5

N2 - 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.

AB - 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.

KW - Kalman filtering

KW - Polar coordinate

KW - Underwater object locator

UR - https://www.scopus.com/pages/publications/0035331252

M3 - 文章

AN - SCOPUS:0035331252

SN - 1001-506X

VL - 23

SP - 8-10+54

JO - Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics

JF - Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics

IS - 5

ER -

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

Abstract

Keywords

Other files and links

Fingerprint

Cite this