Abstract | ||
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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. |
Year | DOI | Venue |
---|---|---|
2017 | 10.1109/TAES.2017.2650838 | IEEE Trans. Aerospace and Electronic Systems |
Keywords | Field | DocType |
Algorithm design and analysis,Antenna arrays,Array signal processing,Interference,Convergence,Covariance matrices,Signal to noise ratio | Convergence (routing),Beamforming,Mathematical optimization,Algorithm design,Control theory,Signal-to-noise ratio,Electronic engineering,Curse of dimensionality,Interference (wave propagation),Transformation matrix,Mathematics,Recursion | Journal |
Volume | Issue | ISSN |
53 | 1 | 0018-9251 |
Citations | PageRank | References |
2 | 0.37 | 29 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Xiaomin Wu | 1 | 3 | 1.06 |
Yunlong Cai | 2 | 86 | 11.26 |
Minjian Zhao | 3 | 118 | 27.18 |
Rodrigo C. de Lamare | 4 | 1461 | 179.59 |
Benoît Champagne | 5 | 510 | 67.66 |