OFDM under Oscillator Phase Noise : Contributions to Analysis and Estimation Methods
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School of Electrical Engineering |
Doctoral thesis (article-based)
| Defence date: 2016-06-28
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en
Pages
145 + app. 67
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Aalto University publication series DOCTORAL DISSERTATIONS, 105/2016
Abstract
Most modern transmitters and receivers involve an analog front-end unit and a digital back-end unit. The digital back-end is responsible for information processing which involves thefollowing: redundancy removal from information; information representation; improvinginformation resilience; and information correction. The analog front-end is responsible forinformation transmission and reception. The information processing algorithms developedand implemented in the digital back-end assume a linear and noiseless analog front-end which,in reality, is not the case. This renders some of the information processing algorithms to be lesseffective in practice. The focus of this thesis is on orthogonal frequency-division multiplexing(OFDM) systems under the influence of oscillator phase noise. OFDM is an efficientinformation representation technique used in many communication systems. On the otherhand, phase noise is one type of undesired noise that occurs in the oscillator device used in theanalog front-end. It arises due to the imperfect task of frequency conversion, performed by theoscillator device, between baseband and radio frequency. This thesis contributes to the areas of analysis and estimation in OFDM systems under theinfluence of oscillator phase noise. With regard to analysis, this thesis contributes by derivingthe channel capacity assuming a Gaussian input alphabet. The aim here is to show bothquantitatively and qualitatively the degradation in performance of the OFDM system in thepresence of phase noise. The analysis is conducted for phase noise processes that occur in bothfree-running and phase-locked loop based oscillators and also extended to include the effect ofcarrier frequency offset. With regard to estimation, two new phase noise estimation algorithmsare proposed in this thesis. In particular, these algorithms restrict the search space to a specific subset, where the desired phase noise parameter of interest is shown to lie. For example, in the first estimation method, possible subspaces in which the desired phase noise spectral vector may lie are used in the estimation step. In the second method, the geometry of the desired phase noise spectral vector is used in the estimation step. Specifically, this geometry corresponds to a non-convex set described by a set of quadratic forms that involve permutation matrices. By restricting the search space to this set, the accuracy of phase noise estimation can be improved.Description
Supervising professor
Wichman, Risto, Prof., Aalto University, Department of Signal Processing and Acoustics, FinlandThesis advisor
Riihonen, Taneli, Dr.Keywords
Other note
Parts
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[Publication 1]: P. Mathecken, T. Riihonen, S. Werner and R. Wichman. Performance Analysis of OFDM with Wiener Phase Noise and Frequency Selective Fading Channel. IEEE Transactions on Communications, vol. 59, no. 5, pp. 1321–1331, May 2011.
DOI: 10.1109/TCOMM.2011.030411.100401 View at publisher
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[Publication 2]: P. Mathecken, T. Riihonen, N. N. Tchamov, S. Werner, M. Valkama and R. Wichman. Characterization of OFDM Radio Link under PLL-based Oscillator Phase Noise and Multipath Fading Channel. IEEE Transactions on Communications, vol. 60, no. 6, pp. 1479–1485, June 2012.
DOI: 10.1109/TCOMM.2012.041212.110091 View at publisher
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[Publication 3]: P. Mathecken, T. Riihonen, S. Werner and R. Wichman. Average Capacity of Rayleigh-fading OFDM Link with Wiener Phase Noise and Frequency Offset. In Proc. 23rd IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), pp. 2353–2358, September 2012.
DOI: 10.1109/PIMRC.2012.6362750 View at publisher
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[Publication 4]: P. Mathecken, T. Riihonen, S. Werner and R. Wichman. Accurate Characterization and Compensation of Phase Noise in OFDM Receiver. In Proc. 45th Asilomar Conference on Signals, Systems and Computers (ACSSC), pp. 1948–1952, November 2011.
DOI: 10.1109/ACSSC.2011.6190364 View at publisher
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[Publication 5]: P. Mathecken, T. Riihonen, S. Werner and R. Wichman. Phase Noise Estimation in OFDM: Utilizing its Associated Spectral Geometry. IEEE Transactions on Signal Processing, vol. 64, no. 8, pp. 1999–2012, April 2016.
DOI: 10.1109/TSP.2015.2512532 View at publisher
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[Publication 6]: P. Mathecken, S. Werner, T. Riihonen, and R. Wichman. Subspace-based Phase Noise Estimation in OFDM Receivers. In Proc. 40th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 3227–3231, April 2015.
DOI: 10.1109/ICASSP.2015.7178567 View at publisher