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.
['Krishna Pentakota', 'Mario Aguilar Ramírez', 'Sebastian Hoyos']
LEAST MEAN SQUARED BACKGROUND CALIBRATION FOR OFDM MULTICHANNEL RECEIVERS