دانلود مقاله ISI انگلیسی شماره 70348
عنوان فارسی مقاله

محلی سازی مشارکتی مبتنی بر عبور پیام گاوسی بر نمودار عامل در شبکه های بی سیم

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
70348 2015 12 صفحه PDF سفارش دهید محاسبه نشده
خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.
عنوان انگلیسی
Gaussian message passing-based cooperative localization on factor graph in wireless networks
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Signal Processing, Volume 111, June 2015, Pages 1–12

کلمات کلیدی
محلی سازی تعاونی؛ عبور پیام گاوسی؛ نمودار فاکتور؛ شبکه های بی سیم
پیش نمایش مقاله
پیش نمایش مقاله محلی سازی مشارکتی مبتنی بر عبور پیام گاوسی بر نمودار عامل در شبکه های بی سیم

چکیده انگلیسی

Location information has become attractive for a variety of applications in wireless networks. Cooperative localization was proposed to improve the performance in harsh environment where conventional localization methods failed due to the insufficient number of anchors. In this paper, distributed cooperative localization is studied based on message passing on factor graph. The joint a posteriori distribution of nodes׳ positions is represented by factor graph. Due to the nonlinearity between the positions and range measurement, the expressions of messages cannot be obtained in closed form by directly applying sum-product algorithm. Most existing methods resort to particle-based representation, which leads to both high computational complexity and large communication overhead. We propose to replace the factor node of the likelihood function by a linear Gaussian model. Accordingly, we are able to derive Gaussian messages on the revised factor graph, which only requires to update the mean vectors and the covariance matrices of multivariate Gaussian distributions. Simulation results show that the proposed method significantly outperforms the distributed maximum likelihood estimator and the extended Kalman filter, and performs very close to or even better than SPAWN estimator with much lower communication overhead and computational complexity in both static and mobile wireless networks.

خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.