Compressed sensing techniques for receiver based post-compensation of transmitter's nonlinear distortions in OFDM systems
AuthorsOwodunni, Damilola S.
Ali, Anum Z.
Quadeer, Ahmed Abdul
Al-Safadi, Ebrahim B.
Al-Naffouri, Tareq Y.
KAUST DepartmentElectrical Engineering Program
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AbstractIn this paper, compressed sensing techniques are proposed to linearize commercial power amplifiers driven by orthogonal frequency division multiplexing signals. The nonlinear distortion is considered as a sparse phenomenon in the time-domain, and three compressed sensing based algorithms are presented to estimate and compensate for these distortions at the receiver using a few and, at times, even no frequency-domain free carriers (i.e. pilot carriers). The first technique is a conventional compressed sensing approach, while the second incorporates a priori information about the distortions to enhance the estimation. Finally, the third technique involves an iterative data-aided algorithm that does not require any pilot carriers and hence allows the system to work at maximum bandwidth efficiency. The performances of all the proposed techniques are evaluated on a commercial power amplifier and compared. The error vector magnitude and symbol error rate results show the ability of compressed sensing to compensate for the amplifier's nonlinear distortions. © 2013 Elsevier B.V.
SponsorsThis work was supported by King Abdulaziz City for Science and Technology (KACST) through the Science & Technology Unit at King Fahd University of Petroleum & Minerals through Project no. 11-ELE1651-04 as part of the National Science, Technology and Innovation Plan.