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- W2793684801 abstract "Coherent detection of transmitted signals in wireless communication systems necessitates the need for accurate estimation of Channel State Information (CSI) at the receiver. This is also true for the newly introduced multi-user Orthogonal Frequency Division Multiplexing-Interleave Division Multiple Access (OFDM-IDMA) based wireless communication systems. Just like the other wireless communication systems, most of the initial CSI estimation schemes for this system have been based, predominantly, on the use of known training (pilot) signals. This is with the assumption that the wireless communication channel presents rich multipath phenomena to the transmitted signals. However, the assumption of rich multipath in wireless communications systems violated most physical systems in which the wireless channel actually exhibits sparse multipath features. This paper therefore presents a detailed overview of the various channel estimation schemes that have exploited the inherent sparsity in the OFDM channel with the aim of enhancing the estimation of the CSI in the OFDM-IDMA systems. Corresponding comparative results and computational complexities for all these channel estimation schemes are presented and discussed in this paper. Finally, the open research questions for future investigation are also itemized." @default.
- W2793684801 created "2018-03-29" @default.
- W2793684801 creator A5064718136 @default.
- W2793684801 date "2018-04-01" @default.
- W2793684801 modified "2023-10-17" @default.
- W2793684801 title "An overview of channel estimation schemes based on regularized adaptive algorithms for OFDM-IDMA systems" @default.
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- W2793684801 doi "https://doi.org/10.1016/j.dsp.2018.01.009" @default.
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