2013/05/27 by Rodrigo C. de Lamare, de Lamare, Rodrigo C., Raimundo Sampaio‐Neto +2
Computer Science · Engineering · Mathematics · #Advanced Adaptive Filtering Techniques #Advanced Wireless Communication Techniques #Direction-of-Arrival Estimation Techniques #FOS: Computer and information sciences #Information Theory (cs.IT) #cs.IT #math.IT
paper · pdf · doi:10.48550/arxiv.1305.6336
4 figures. Published in SSP 2010. arXiv admin note: substantial text overlap with arXiv:1205.4390, arXiv:1304.7548
arxiv created 2013/05/27 · openalex publication_date 2013/05/27 · arxiv updated 2013/05/29 · openalex created_date 2019/06/27 · openalex updated_date 2026/07/28
This paper proposes a novel adaptive reduced-rank filtering scheme based on the joint iterative optimization of adaptive filters. The proposed scheme consists of a joint iterative optimization of a bank of full-rank adaptive filters that constitutes the projection matrix and an adaptive reduced-rank filter that operates at the output of the bank of filters. We describe minimum mean-squared error (MMSE) expressions for the design of the projection matrix and the reduced-rank filter and simple least-mean squares (LMS) adaptive algorithms for its computationally efficient implementation. Simulation results for a CDMA interference suppression application reveals that the proposed scheme significantly outperforms the state-of-the-art reduced-rank schemes, while requiring a significantly lower computational complexity.