Title :
Improved MWF algorithm applied in space time interference suppression
Author :
Yi, Zhang ; Xiping, Yao ; Yin, Huang
Author_Institution :
Sch. of Electron. & Inf., Northwestern Polytech. Univ., Xi´´an, China
Abstract :
In the study on space-time interference suppression in GPS receiver, dimension reduced methods become one of the most critical issues because of the great amount of computations. After the model of space time adaptive filter is offered, a simplified multistage nested Wiener filter (MWF) method, which is improved on the basis of MWF model, has been proposed through analyzing the dimension reduced processing idea, and it is compared with some general dimension reduced methods for mean square error performance and signal to interference plus noise ratio performance. Simulation results show that, this improved MWF method dramatically reduces the amount of computation in GPS space-time interference suppression.
Keywords :
Global Positioning System; Wiener filters; adaptive filters; interference suppression; space-time adaptive processing; GPS receiver; MWF algorithm; simplified multistage nested Wiener filter method; space time adaptive filter; space time interference suppression; Bandwidth; Covariance matrix; Global Positioning System; Interference suppression; Receivers; Wiener filter; GPS; MWF; dimension reduced processing; space-time interference suppression;
Conference_Titel :
Signal Processing, Communications and Computing (ICSPCC), 2011 IEEE International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4577-0893-0
DOI :
10.1109/ICSPCC.2011.6061785