三状态Markov陆地移动卫星信道模型
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王昕(1993-),女,硕士。研究方向:卫星通信信号处理,E-mail:wang_xin@seu.edu.cn;戚晨皓(1981-),男,副教授。研究方向:卫星通信与MIMO通信技术,E-mail:qch@seu.edu.cn

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国家自然科学基金(61871119)资助项目;江苏省自然科学基金(BK20161428)资助项目;上海航天技术研究院SAST基金(SAST2016072)资助项目;国家科技重大专项基金(2016ZX03001016-003)资助项目。


Three-State Markov Model of Land Mobile Satellite Channel
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    摘要:

    为克服单一状态无法充分体现实际卫星信道传播特性的缺点,本文研究了三状态Markov陆地移动卫星信道的建模方法,首次基于该信道模型进行了误符号率(Symbol error rate,SER)性能仿真。在该建模方法中,每个状态服从不同参数的Loo分布,状态之间的转移服从Markov随机过程。此外,本文还基于该信道模型进行了SER性能仿真,对比了S波段、仰角40°和正交相移键控下中度树阴影和郊区环境的SER,发现SER性能的好坏主要取决于卫星信道直视分量的强弱,当直视分量受到重度遮蔽时,为了补偿SER损失需额外的3~5 dB信噪比。另外,中度树阴影环境相比于郊区环境,为达到相同的SER=0.01的性能,要多消耗约5 dB的信噪比。本文的研究工作有助于研究卫星通信传输技术及其工程应用。

    Abstract:

    To overcome the shortcoming that the single-state channel modeling method cannot sufficiently reflect the practical propagation of satellite channel, a three-state Markov modeling method for land mobile satellite channel is presented. In particular, it is the first time to simulate the symbol error rate (SER) performance based on the presented channel model. Each state of the three-state Markov channel model obeys the Loo distribution with different parameters; while the state transition is modeled as Markov random process. The SER comparisons using the presented channel model are simulated independently for the intermediate tree shadowed scenario and suburban scenario in S band, elevation of 40° and quadrature phase shift keying(QPSK) modulation. The simulation results show that SER performance is mainly determined by the strength of the line-of-sight component. In case of heavy shadow, additional signal to noise ratio (SNR) of 3-5 dB is needed to compensate the SER loss. In addition, in order to achieve the same SER=0.01 performance, the intermediate tree shadowed scenario needs extra about 5 dB SNR compared to suburban scenario. The work is contributed to the research of satellite communication techniques and the engineering application therein.

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王昕, 戚晨皓.三状态Markov陆地移动卫星信道模型[J].数据采集与处理,2018,33(6):977-985

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  • 收稿日期:2017-05-12
  • 最后修改日期:2017-11-13
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  • 在线发布日期: 2018-12-06