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基于天基网的林业监测数据的高效传输技术研究

批准号31700479 学科分类森林资源管理与信息技术 ( C160201 )
项目负责人段瑞枫 负责人职称讲师 依托单位北京林业大学
资助金额24.00
万元
项目类别青年科学基金项目 研究期限2018 年 01 月 01 日 至
2020 年 12 月 31 日
中文主题词遥感信息;动态监测;信息服务
英文主题词remote sensing information;forestry monitoring;data transmission

摘要

中文摘要 本课题围绕林业监测系统的数据传输开展研究,提出了利用卫星遥感对林业数据进行采集并利用天基网进行数据传输的总体方案。针对林业生态监测与灾害监测中的高分辨率图像数据的快速传输需求,基于天基网链路信道状态动态时变特点,分析了目前固定编码调制技术传输效率低的问题,提出了基于天基网的自适应传输方案,研究了编码调制设计以及传输协议。针对卫星平台的功率受限问题,提出了低峰均比高谱效的星座映射方案。根据监测数据的重要性不同,提出了基于无速率码的不等错误保护技术,进一步提高了重要监测数据的传输可靠性。利用低轨卫星链路状态随仰角变化的特点以及轨迹的可预测性,提出了低反馈频次的无速率码自适应传输策略。在利用中继卫星转发数据的场景下,根据天气状况对信道衰减值缓慢变化的特点,研究了准静态信道下的无速率码的截断自适应传输策略,提高了通信系统的频谱效率。该研究工作为高分辨率林业监测数据的高效传输提供理论指导和技术支持。
英文摘要 This project focuses on high efficient data transmission for forestry monitoring systems. In order to satisfy the demand of rapid transmission for high-resolution image data in forestry ecological monitoring and disaster monitoring, we propose the overall scheme of using satellite remote sensing and space satellite network to obtain and transmit forestry monitoring data. Since the channel state in satellite link is time-varying and existing fixed code modulation leads to low transmission efficiency, an adaptive transmission scheme based on space satellite network is proposed. The code design and transmission protocol are studied. Considering the limited power in satellite platform, a constellation mapping scheme with low peak-to-average ratio (PAPR) and high spectral efficiency is proposed. According to the different importance of monitoring data, an unequal error protection algorithm based on rateless codes is proposed, which further improves the transmission reliability of important data. Besides, since the trajectory of the low-orbit satellite is predictable and link state is changing with the variable elevation angle, an adaptive transmission strategy based on rateless codes with low feedback frequency is also explored. In the application of relay satellite forwarding data, in which the channel state is changing slowly with the slow-changing weather conditions, the truncated transmission strategy of rateless codes is studied in quasi-static channels, aiming at improving the spectral efficiency. In conclusion, these research jobs are expected to provide theoretical guidance and technical supports for efficient data transmission for high- resolution forestry monitoring systems.
结题摘要

成果

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