Open AccessClutter attenuation‐stable normalised least‐mean fourth for PBR
Author(s) -
Zhang Yuping,
Li Yunjie,
Wei Yuyu,
Li Wenjing
Publication year - 2016
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
eISSN - 1350-911X
pISSN - 0013-5194
DOI - 10.1049/el.2015.4083
Subject(s) - clutter , signal (programming language) , algorithm , attenuation , convergence (economics) , rate of convergence , echo (communications protocol) , bistatic radar , interference (communication) , computer science , radar , constant false alarm rate , control theory (sociology) , physics , telecommunications , artificial intelligence , radar imaging , optics , computer network , channel (broadcasting) , control (management) , economics , programming language , economic growth
The stable normalised least‐mean fourth (SNLMF) algorithm is developed in the passive bistatic radar (PBR) system to realise the interference cancellation. The larger power of the reference signal may lead to the poor convergence rate. By replacing the reference signal vector with the instantaneous echo signal, the concept of the clutter attenuation (CA) is introduced in the SNLMF algorithm, and the CA‐SNLMF algorithm is proposed to provide a fast convergence. The real measured data collected from the PBR system demonstrate that the proposed CA‐SNLMF algorithm has a faster convergence speed and better cancellation performance than the SNLMF algorithm.