Priori-aided detection for generalized space-and-frequency index modulation systems with multi-carrier frequency offset

Zhao, Yan, Xiao, Yue, Lei, Xia, Yang, Ping, and Xiang, Wei (2019) Priori-aided detection for generalized space-and-frequency index modulation systems with multi-carrier frequency offset. IEEE Transactions on Vehicular Technology, 68 (10). pp. 10330-10334.

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Abstract

In this paper, two priori-aided detectors are proposed for generalized space-and-frequency index modulation (GSFIM) systems with the objective of mitigating the effect of the multi-carrier frequency offset (CFO). Specifically, based on the priori information, the first- and second-order moments of the sparse GSFIM transmit signal are calculated, and the intercarrier interference (ICI) is cancelled via soft interference cancellation. Furthermore, unlike cancellation-based detectors only treating the signals from other transmit frequency-interval as interference to be cancelled, a multipath-based iterative detector is proposed by treating all the signals from the same transmit frequency-interval as multi-path gains, yielding a favorable system performance. Simulation results demonstrate that the proposed detectors are capable of effectively mitigating the effect of multiple CFOs and of providing considerable system performance improvements at a moderate expense of the complexity.

Item ID: 61296
Item Type: Article (Research - C1)
ISSN: 1939-9359
Keywords: Detectors, OFDM, Frequency-domain analysis, Transmitting antennas, Interference, Frequency modulation, Generalized space-and-frequency index modulation (GSFIM), orthogonal frequency division multiplexing (OFDM), carrier frequency offset (CFO)
Copyright Information: © 2019 IEEE.
Funders: National Natural Science Foundation of China (NNSFC), National Key R&D Program of China, Fundamental Research Funds for the Central Universities (FRFCU), Sichuan Science and Technology Program
Date Deposited: 01 Jan 2020 07:44
FoR Codes: 10 TECHNOLOGY > 1005 Communications Technologies > 100510 Wireless Communications @ 100%
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