VDES系统中π/4-OQPSK调制方式仿真研究

Journal of Shenyang Ligong University（2018）

Cited 2|Views5

Abstract

随着船舶自动识别系统(AIS)交换能力及链路负载与用户数量之间矛盾的日益凸显,甚高频数据交换系统(VDES)未来必将替代AIS系统.以VDES为研究背景,在对其工作机理及关键技术分析的基础上,针对该系统中的调制解调技术进行了深入研究,并以π/4-OQPSK调制方式为研究对象,对其通信过程进行仿真分析.仿真结果表明:在无信道干扰且信噪比15 dB时系统误码性能在10-4以下;在莱斯信道下,当信噪比大于30 dB时,系统误码性能在10-3以下.

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Pretraining has recently greatly promoted the development of natural language processing (NLP)
We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance

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