In this paper, we propose a low-complexity adaptive reduced-rank interference suppression scheme based on alternating low-rank decomposition techniques for navigation receivers. The proposed scheme, which employs a generalized sidelobe canceler structure, makes use of a projection matrix for rank reduction followed by a reduced-dimension receive filter. An alternating optimization strategy based on recursive least squares is devised to compute the basis vectors of the projection matrix and the receive filter adaptively. Simulation results show that the proposed algorithm achieves a better performance than existing methods with a reduced computational complexity.
Low-Complexity Reduced-Dimension Space–Time Adaptive Processing for Navigation Receivers
IEEE Transactions on Aerospace and Electronic Systems ; 54 , 6 ; 3160-3168
2018-12-01
1432612 byte
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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