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An Approach for Classification of RF Spectrum Data On-Board the Nanosatellite SALSAT

机译:纳米卫星萨尔斯特山上射频数据分类的方法

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The number of small satellite launches has increased continuously in the past years resulting in an inherent intensification of radio communication and thus a growing probability of its interference. This can compromise reliable satellite operation in the utilized frequency bands. Therefore, the nanosatellite mission SALSAT (Spectrum AnaLysis SATellite) of Technische Universit?t Berlin (TU Berlin) aims to investigate the global RF spectrum use in VHF and UHF amateur radio bands and in S band scientific bands. The SALSAT satellite is equipped with the primary payload SALSA. The payload resembles a spectrum analyzer based on a Software Defined Radio (SDR) architecture. SALSAT is the second spectrum analysis mission of the TU Berlin. The mission is based on results from the MarconISSta experiment aboard the ISS. MarconISSta utilized a LimeSDR and revealed first insights into the spectrum usage by regions overflown by the ISS. The SALSAT mission shall achieve a global coverage. It is expected that a large quantity of data will be collected during mission lifetime. However, the mission's capabilities are limited by operational and technological constraints such as a limited up- and downlink capacity of the satellite and a comparatively small number of available ground stations. Nevertheless, the scientific value of a spectrum analysis mission is measured by the quality and quantity of the collected samples. This necessitates a payload design that maximizes the number of recorded samples and contained spectrum information over time. The amount of data generated on-board the satellite increases and contrasts the abovementioned operational constraints. This paper will introduce an initial concept for the heatmap generation an on-board data processing and classification approach to solve this contradiction. The SALSAT mission and constraints of nanosatellite missions for in-orbit spectrum analysis will be introduced. The portrayed approach for on-orbit spectrum analysis and
机译:在过去几年中,小型卫星发射的数量在不断增加,导致无线电通信的固有增强,从而产生干扰的巨大概率。这可以在利用频带中损害可靠的卫星操作。因此,Technische Universit的纳米卫星代表团Salsat(Spectrum Analysis卫星)?T Berlin(Tu Berlin)旨在调查VHF和UHF业余无线电频段和S乐队科学乐队中的全球RF频谱。 Salsat卫星配备了主要有效载浆。有效载荷类似于基于软件定义的无线电(SDR)架构的频谱分析仪。 Salsat是Tu Berlin的第二个频谱分析任务。该任务是基于Marconissta实验的结果。 Marconissta利用Limesdr,并通过ISS溢出的地区透露进入频谱用途的见解。 SALSAT任务应达到全球覆盖范围。预计在任务终身期间将收集大量数据。然而,特派团的能力受到操作和技术限制的限制,例如卫星的有限上行和下行链路容量和相对较少的可用地面站。然而,谱分析任务的科学价值是通过收集样本的质量和数量来衡量的。这需要有效载荷设计,其最大化记录的样本的数量和随时间包含的频谱信息。在板上产生的数据量增加并对比上述操作约束。本文将引入初始概念,为热线图生成一个板载数据处理和分类方法来解决这种矛盾。将介绍南卫星任务的SALSAT任务及其限制,用于轨道谱分析。用于轨道谱分析的描绘方法和

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