کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
558379 1451739 2015 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A nonlinear smoother for target tracking in asynchronous wireless sensor networks
ترجمه فارسی عنوان
یک غیر خطی صاف تر برای ردیابی هدف در شبکه های حسگر بی سیم ناهمزمان
کلمات کلیدی
فیلتر کالمن کوباتی مربع ریشه، نقطه ثابت نرم و صاف، شبکه حسگر بی سیم، ردیابی هدف
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر پردازش سیگنال
چکیده انگلیسی

Generally, multiple sensors are deployed to track a target synchronously in wireless sensor networks. However, asynchronous measurements exist intrinsically in multi-rate multi-sensor systems. Asynchronous measurements may also emerge in acoustic sensor networks, owing to the low propagation speed of acoustic signals. In order to handle the target tracking problem with asynchronous measurements, a nonlinear smoothing algorithm based on the fixed-point smoother and the square-root cubature Kalman filter is derived and applied in asynchronous wireless sensor networks for the first time. The estimation precision of the states increases along with the smoothing process, and a sensor can always obtain the optimal estimate of a state before its own next measurement by using the proposed algorithm. The numerical simulations demonstrate that, thanks to the smoothing effect of the fixed-point smoother, the proposed algorithm can obtain not only the remarkable position estimation results of the target, but also even better velocity estimation results. In addition, the proposed algorithm can obtain much more states' estimates than benchmark synchronous target-tracking algorithms, under the same condition of measurement count and communication cost.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Digital Signal Processing - Volume 41, June 2015, Pages 32–40
نویسندگان
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