DocumentCode :
3020011
Title :
Reduced rank calculation of space-time anti-jamming for navigation receiver
Author :
Wang Dawei ; Chen Qian
Author_Institution :
Sch. of Inf. & Electron., Beijing Inst. of Technol., Beijing, China
fYear :
2013
fDate :
20-22 Dec. 2013
Firstpage :
439
Lastpage :
443
Abstract :
Navigation receiver is easily influenced by radio frequency (RF) interference in complicated electromagnetic environment, so it is necessary to enhance its ability of cancelling interference. Space-time anti-jamming system model of the navigation receiver is established. Multistage Wiener filter and conjugate gradient iteration algorithms are researched, and their characteristics such as calculation and storage are analyzed. A new method of difference sample mean square error (DSMSE) is proposed to stop calculation timely. The simulation results show that the two algorithms are valid in space-time adaptive processing for navigation receiver, and the DSMSE method can stop calculation process when the anti-jamming performance of the algorithm almost reaches its best performance, avoiding extra computation and alleviating computational burden.
Keywords :
Global Positioning System; Wiener filters; gradient methods; interference suppression; jamming; mean square error methods; radio receivers; radiofrequency interference; space-time adaptive processing; DSMSE method; GPS navigation signal; RF interference; conjugate gradient iteration algorithms; electromagnetic environment; interference suppression; multistage Wiener filter; navigation receiver; radio frequency interference; reduced rank calculation; sample mean square error; space-time adaptive processing; space-time anti-jamming system model; Covariance matrices; Interference; Mean square error methods; Navigation; Receivers; Vectors; Wiener filters; Anti-jamming; Conjugate gradient; Multistage wiener filter; Navigation receiver; Space-time adaptive processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronic Sciences, Electric Engineering and Computer (MEC), Proceedings 2013 International Conference on
Conference_Location :
Shengyang
Print_ISBN :
978-1-4799-2564-3
Type :
conf
DOI :
10.1109/MEC.2013.6885108
Filename :
6885108
Link To Document :
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