DocumentCode :
2227839
Title :
Joint polarized and spatial domain anti-jamming method for GNSS
Author :
Wei Zeng ; Ling Wang ; YingHui Wang ; Zhaolin Zhang ; Meng Zhang
Author_Institution :
Sch. of Electron. & Inf., Northwestern Polytech. Univ., Xi´an, China
fYear :
2013
fDate :
5-8 Aug. 2013
Firstpage :
1
Lastpage :
5
Abstract :
Because of the vulnerability of navigation signal, adaptive array processing plays a significant role in global navigation satellite system (GNSS) receivers. However, when the direction of arrival (DOA) of the desired signal coincides with that of the interference, the desired signal is mitigated which leads to a degradation of system performance. This paper utilizes antenna array´s polarization information and proposes a novel joint polarized and spatial anti-jamming (JPSA) method based on linearly constrained minimum variance (LCMV) criterion. Unlike traditional LCMV criterion, we propose a constraint matrix consisting of the steering vector of desired signal and interference, which can suppress the interference and enhance the desired signal effectively. Simulations in single and multiple interference scenarios show that the proposed method suppresses interference successfully while the DOA of desired signal is the same with that of interference.
Keywords :
adaptive antenna arrays; array signal processing; direction-of-arrival estimation; interference suppression; jamming; matrix algebra; polarisation; radio receivers; satellite navigation; GNSS receivers; adaptive array processing; antenna array polarization information; constraint matrix; direction of arrival; global navigation satellite system; interference scenarios; interference suppression; joint polarized; linearly constrained minimum variance criterion; navigation signal; spatial domain anti-jamming method; steering vector; system performance; Arrays; Electromagnetics; Interference; Jamming; Polarization; Vectors; GNSS receiver; LCMV criterion; Polarization; anti-jamming;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing, Communication and Computing (ICSPCC), 2013 IEEE International Conference on
Conference_Location :
KunMing
Type :
conf
DOI :
10.1109/ICSPCC.2013.6663946
Filename :
6663946
Link To Document :
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