LEAST MEAN SQUARED BACKGROUND CALIBRATION FOR OFDM MULTICHANNEL RECEIVERS Academic Article

abstract

• This paper presents a data estimation scheme for wide band multichannel charge sampling filter bank receivers together with a complete system calibration algorithm based on the least mean squared (LMS) algorithm. A unified model has been defined for the receiver containing all first order mismatches, offsets, imperfections, and the LMS algorithm is employed to track these errors. The performance of this technique under noisy channel conditions has been verified. Moreover, a detailed complexity analysis of the calibration algorithm is provided which shows that sinc filter banks have much lower complexity than traditional continuous-time filter banks.

authors

• Hoyos, Sebastian

published proceedings

• JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS

author list (cited authors)

• Pentakota, K., Ramirez, M. A., & Hoyos, S.

citation count

• 1

complete list of authors

• Pentakota, Krishna||Ramirez, Mario A||Hoyos, Sebastian

publication date

• February 2012

publisher

• World Scientific Publishing  Publisher

published in

• Journal of Circuits, Systems and Computers  Journal

keywords

• Complexity
• Filter Bank
• Lms Calibration
• Sinc Filter

Digital Object Identifier (DOI)

• 10.1142/S0218126612500144

start page

• 1250014

end page

• 1250014

volume

• 21

issue

• 1

URL

• http%3A%2F%2Fdx.doi.org%2F10.1142%2Fs0218126612500144