A Digital Signal Recovery Technique Using DNNs for LEO Satellite Communication Systems
نویسندگان
چکیده
This article proposes a new digital signal recovery (DSR) technique for next-generation power efficient low Earth orbit (LEO) satellite-to-ground communication systems, which feature additive white Gaussian noise (AWGN) channel and significant variation. utilizes the prior knowledge [i.e., nonlinearities of radio frequency amplifiers (RF-PAs)] space-borne transmitters to improve quality received at ground stations by modeling mitigating imperfection using deep neural networks (DNNs). Benefiting from its robustness against variation, proposed DNN based DSR (DNN-DSR), can correct high distortions caused hence allows RF-PAs work close their saturation region, leading efficiency LEO satellites. has been validated both simulations experiments, in comparison with back-off as well memory polynomial-based solutions. Experimental results show that DNN-DSR increase drain RF-PA 32.6% 45% while maintaining same error vector magnitude technique. It also demonstrated handle variation 12 dB, is challenging conventional
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ژورنال
عنوان ژورنال: IEEE Transactions on Industrial Electronics
سال: 2021
ISSN: ['1557-9948', '0278-0046']
DOI: https://doi.org/10.1109/tie.2020.2994873