Abstract
In this chapter, we present a joint ICA based equalization and CFO estimation scheme for OFDMA systems, which requires only a single pilot, resulting in a very low spectral overhead. On the one hand, a low-complexity ambiguity elimination method is proposed for the ICA equalized signals. By designing and exploring a fixed order of correlation in the transmitted signals, the permutation ambiguity problem is resolved, while the remaining quadrant ambiguity is eliminated by one pilot symbol. One the other hand, linear CFO estimation is performed with a closed-form solution based on the phase difference between adjacent rows in the CFO corrupted channel structure. Simulation results show that the presented semi-blind ICA based scheme not only outperforms existing CFO estimation approaches, but also achieves a BER performance comparable to the ideal case with perfect CSI and no CFO.
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Jiang, Y., Zhu, X., Lim, E.G., Huang, Y., Lin, H. (2015). Semi-Blind Joint ICI Mitigation and Equalization for CA Based CoMP OFDMA Systems. In: Semi-Blind Carrier Frequency Offset Estimation and Channel Equalization. SpringerBriefs in Electrical and Computer Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-24984-1_6
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DOI: https://doi.org/10.1007/978-3-319-24984-1_6
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