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- W4383670009 abstract "For channel estimation of OFDM communication system, a deep learning (DL) technique is discussed in this paper. A two-dimensional picture is used to investigate the time–frequency response of a quickly fading communication channel. The goal of this work is to utilize certain known values at the pilot sites to identify the unknown values of the channel response matrix. A universal pipeline based on deep image processing approaches, image super-resolution (ISR), and image restoration (IRR) is presented to achieve this goal. In this technique, the pilot values are treated like a low-resolution picture and the channel estimation is performed by cascading the SR network along with a denoising IRR network. In addition, a working example of the suggested pipeline is presented. The estimated error demonstrates that the proposed approach is better than the previously used channel net approach which is comparable to the MMSE approach when all channel characteristics are known." @default.
- W4383670009 created "2023-07-09" @default.
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- W4383670009 date "2023-01-01" @default.
- W4383670009 modified "2023-09-23" @default.
- W4383670009 title "Super Resolution-Based Channel Estimation" @default.
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- W4383670009 doi "https://doi.org/10.1007/978-981-99-0483-9_24" @default.
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