The fixed level and dynamic denoising method was studied based on indoor-to-outdoor measured channel impulse responses ORs) at 5.25 GHz with radio frequency (RF) 100 MHz bandwidth. It is found that the dynamic rang...The fixed level and dynamic denoising method was studied based on indoor-to-outdoor measured channel impulse responses ORs) at 5.25 GHz with radio frequency (RF) 100 MHz bandwidth. It is found that the dynamic ranges, peak powers and noise floors of the IRs are with close correlations. The comparisons with different denoising methods are given by deriving the power delay profiles (PDPs), root mean square (RMS) delay spread (RMS DS), number of paths (NOPs) and Ricean K-factors. It is concluded that the traditional fixed level noise cut is under estimate of DS and NOPs. The Ricean K-factors are of little sensitive to noise cut irrespective of what kind of methods applied. The PDPs are not very sensitive to the fixed level noise cut, however, obvious changes can be found by dynamic noise cut. The dynamic noise cut is preferred when clear noise floors is observed and decided from the measured IRs, it's of importance in data post processing for wideband radio channel measurements as well as the relevant modeling work.展开更多
文摘构建空天地一体化信息网络是第六代通信系统(the Sixth Generation,6G)的重要目标,无线光通信相较于射频(Radio Frequency,RF)通信技术具有容量大、速率高、抗干扰能力强等优势,已成为建立全球无缝覆盖空间网络的重要技术.本文综述了基于自由空间光通信(Free Space Optical Communication,FSOC)的空天地一体化网络国内外建设及相关标准化现状,相较于现有综述文献,涵盖了更多最新研究工作,并针对物理层和上层指出一体化FSOC网络设计需要关注的重要因素,对大气信道建模、“捕获、瞄准和跟踪”(Acquisition Pointing and Tracking,APT)、拓扑控制、路由、资源分配、可靠传输协议、微波协作传输几种重要通信技术进行总结和分析,并指出其未来发展趋势和面临的挑战.
基金supported by the National Natural Science Foundation of China (61372051)the Hi-Tech Research and Development Program of China (2014AA01A701)The Measurements Were Performed in the Framework of the IST (IST-4-027756 WINNER II)
文摘The fixed level and dynamic denoising method was studied based on indoor-to-outdoor measured channel impulse responses ORs) at 5.25 GHz with radio frequency (RF) 100 MHz bandwidth. It is found that the dynamic ranges, peak powers and noise floors of the IRs are with close correlations. The comparisons with different denoising methods are given by deriving the power delay profiles (PDPs), root mean square (RMS) delay spread (RMS DS), number of paths (NOPs) and Ricean K-factors. It is concluded that the traditional fixed level noise cut is under estimate of DS and NOPs. The Ricean K-factors are of little sensitive to noise cut irrespective of what kind of methods applied. The PDPs are not very sensitive to the fixed level noise cut, however, obvious changes can be found by dynamic noise cut. The dynamic noise cut is preferred when clear noise floors is observed and decided from the measured IRs, it's of importance in data post processing for wideband radio channel measurements as well as the relevant modeling work.