Bi-iterative least squares algorithms for blind channel identification and equalization with second-order statistics

DOI10.1007/S11432-009-0142-5zbMath1191.94064OpenAlexW2114213824MaRDI QIDQ848389

Shan Ouyang

Publication date: 3 March 2010

Published in: Science in China. Series F (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11432-009-0142-5

zbMATH Keywords

interferenceintersymbol interferencelow-rank approximationQR-decompositionsubspace trackingsecond-order statisticsSIMObi-iterationblind identification and equalizationinverse QR iteration

Mathematics Subject Classification ID

Detection theory in information and communication theory (94A13) Statistical aspects of information-theoretic topics (62B10) Channel models (including quantum) in information and communication theory (94A40)

Cites Work

• QR factorization based blind channel identification with second-order statistics
• A Method for Recursive Least Squares Filtering Based Upon an Inverse QR Decomposition
• Bi-iterative least-square method for subspace tracking
• Unnamed Item

This page was built for publication: Bi-iterative least squares algorithms for blind channel identification and equalization with second-order statistics