Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Efficient Compensation of Transmitter and Receiver IQ Imbalance in OFDM Systems | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2010 Article ID 106562 14 pages doi 2010 106562 Research Article Efficient Compensation of Transmitter and Receiver IQ Imbalance in OFDM Systems Deepaknath Tandur and Marc Moonen EURASIP Member K. U. Leuven ESAT SCD-SISTA Kasteelpark Arenberg 10 3001 Leuven-Heverlee Belgium Correspondence should be addressed to Deepaknath Tandur Received 1 December 2009 Revised 21 June 2010 Accepted 3 August 2010 Academic Editor Ana Perez-Neira Copyright 2010 D. Tandur and M. Moonen. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Radio frequency impairments such as in-phase quadrature-phase IQ imbalances can result in a severe performance degradation in direct-conversion architecture-based communication systems. In this paper we consider the case of transmitter and receiver IQ imbalance together with frequency selective channel distortion. The proposed training-based schemes can decouple the compensation of transmitter and receiver IQ imbalance from the compensation of channel distortion in an orthogonal frequency division multiplexing OFDM systems. The presence of frequency selective channel fading is a requirement for the estimation of IQ imbalance parameters when both transmitter receiver IQ imbalance are present. However the proposed schemes are equally applicable over a frequency flat frequency selective channel when either transmitter or only receiver IQ imbalance is present. Once the transmitter and receiver IQ imbalance parameters are estimated a standard channel equalizer can be applied to estimate compensate for the channel distortion. The proposed schemes result in an overall lower training overhead and a lower computational requirement compared to the joint compensation of .
