کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6958491 | 1451947 | 2016 | 16 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Improved Gaussian mixture probability hypothesis density smoother
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
پردازش سیگنال
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Improved Gaussian mixture probability hypothesis density smoother Improved Gaussian mixture probability hypothesis density smoother](/preview/png/6958491.png)
چکیده انگلیسی
The Gaussian mixture probability hypothesis density (GM-PHD) smoother proposed recently is a closed-form solution to the forward-backward PHD smoother for the linear Gaussian model, it can yield better state estimates than the GM-PHD filter. However, for the standard GM-PHD smoother, when one or more targets disappear during forward filtering, the smoothed PHD will be adjusted improperly in the backward smoothing, thus leading to a target number misestimation problem. In this paper, an improved GM-PHD smoother is proposed to solve such a problem, in which a modified backward corrector is used to adjust the smoothed PHD. Simulated results show that the improved GM-PHD smoother is superior to the standard GM-PHD smoother in both the aspects of target state estimate and target number estimate so that this improved GM-PHD smoother will have an applicable potential in related fields.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Signal Processing - Volume 120, March 2016, Pages 56-63
Journal: Signal Processing - Volume 120, March 2016, Pages 56-63
نویسندگان
Xiangyu He, Guixi Liu,