We propose a blind adaptive reduced-rank widely linear beamforming algorithm using the generalized sidelobe canceller structure for interference suppression. A structured Krylov-subspace-based approach is devised to construct the dimensionality reducing transformation matrix, and a recursive least-squares algorithm is developed according to the widely linear constrained constant modulus criterion to update the reduced-rank filter. We analyze the convergence and complexity of the proposed algorithm and validate its performance gains through simulations.
Adaptive Widely Linear Constrained Constant Modulus Reduced-Rank Beamforming
IEEE Transactions on Aerospace and Electronic Systems ; 53 , 1 ; 477-492
2017-02-01
1148244 byte
Article (Journal)
Electronic Resource
English
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