Robust Digital Signal Recovery for LEO Satellite Communications Subject to High SNR Variation and Transmitter Memory Effects

نویسندگان

چکیده

This paper proposes a robust digital signal recovery (DSR) technique to tackle the high signal-to-noise ratio (SNR) variation and transmitter memory effects for broadband power efficient down-link in next-generation low Earth orbit (LEO) satellite constellations. The robustness against SNR is achieved by concurrently integrating magnitude normalization noise feature filtering using block built with one batch (BN) layer two bidirectional long short-term (BiLSTM) layers. Moreover, unlike existing deep neural network-based DSR techniques (DNN-DSR), which failed effectively take into account of radio-frequency amplifiers (RF-PAs) model design, proposed BiLSTM-DSR can extracts sequential characteristics adjacent in-phase (I) quadrature (Q) samples, hence obtain superior compensation compared DNN-DSR technique. Experimental validation results 100 MHz bandwidth OFDM demonstrate an excellent performance 11.83 dB 9.4% improvement channel (ACPR) error vector (EVM), respectively. also outperforms terms ACPR EVM 2.4 0.9%, provides promising solution developing learning-assisted receivers high-throughput LEO networks.

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ژورنال

عنوان ژورنال: IEEE Access

سال: 2021

ISSN: ['2169-3536']

DOI: https://doi.org/10.1109/access.2021.3117517