Target Tracking Using Particle Filters With Support Vector Regression
Küçük Resim Yok
Tarih
2009
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
This paper presents a numerical Bayesian approach for the direction-of-arrival (DOA) tracking of multiple targets using a linear and passive sensor array. In this paper, support vector regression (SVR) method is employed, together with particle filters (PFs), to obtain an effective proposed distribution utilizing observed phenomena to propose a new sample. Two PF algorithms are presented: One is based on SVR for a large sample set, and the other is based on sequential SVR for a small sample set. The simulation results present the superiority of the proposed method while considering a small sample set and show that it is also competitive when a large sample set is considered.
Açıklama
Anahtar Kelimeler
Direction-of-arrival (DOA) tracking, particle filters (PFs), support vector regression (SVR)
Kaynak
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
WoS Q Değeri
Q1
Scopus Q Değeri
Q1
Cilt
58
Sayı
5
