کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
444955 1443153 2015 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Bearings-only maneuvering target tracking based on truncated quadrature Kalman filtering
ترجمه فارسی عنوان
بلبرینگ - تنها مانور هدفگیری ردیابی بر اساس چهارگوشه محدود فیلتر کالمن
کلمات کلیدی
مانور ردیابی هدف، فیلترینگ کلامر چهارگانه مختلط، روش حداقل مربع
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر شبکه های کامپیوتری و ارتباطات
چکیده انگلیسی

In this paper, a novel bearings-only maneuvering target tracking algorithm based on truncated quadrature Kalman filtering (TQKF) is proposed. In the proposed method, when the target maneuvers, in order to reduce the effect on performance duo to the increasing variance of the prior distribution, a modified prior distribution based on the current measurement is proposed. In the update step, the first two moments of the modified prior distribution is approximately estimated based on the least square estimation method and Gauss–Hermite quadrature rule, and the posterior distribution is jointly updated by using the prior distribution and the modified prior distribution. Moreover, in order to adaptively choose the estimated results obtained by the prior PDF and the truncated prior PDF, a fuzzy logic approach in which a Gaussian membership function is employed is proposed to determine the weight α. Finally, the experiment results show that the proposed algorithm results in more accurate tracking than the existing one, namely, the unscented Kalman filter (UKF), the quadrature Kalman filter (QKF), interact multiple model extended Kalman filter (IMMEKF) and multiple model Rao–Blackwellized particle filter (MMRBPF).

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: AEU - International Journal of Electronics and Communications - Volume 69, Issue 1, January 2015, Pages 281–289
نویسندگان
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