Improving ambient FM indoor localization using multipath-induced amplitude modulation effect: A year-long experiment

2019 ◽  
Vol 58 ◽  
pp. 101022 ◽  
Author(s):  
Andrei Popleteev
2014 ◽  
Vol 945-949 ◽  
pp. 2801-2805
Author(s):  
Jie Wan ◽  
Zhi Gang Zhao ◽  
Guo Rui Ren ◽  
Cheng Cheng Qiao ◽  
Cheng Rui Lei ◽  
...  

At present, with the development of wind’s energy application and disaster prevention, the windspeed uncertainty must be estimated because of the existing large gap between the requirement of prediction performance and current techniques owing to it’s strong random fluctuation. In this paper, a new method for windspeed uncertainty estimation is proposed on the base of physical mechanism, the inherent amplitude modulation effect in windspeed. According to the the atmosphere motion power spectrum in low-layers, the actual windspeed is usually decomposed into the hourly average windspeed and the turbulent residual error by many researchers. And the turbulent residual error and the turbulent standard deviation is modulated by the hourly average windspeed. Moreover experiments further show that the confidence interval of windspeed random fluctuation uncertainty based on it’s amplitude modulation effect is more rigorous than that obtained by general statistical model. As a result, this uncertainty estimation method has certain physical academic meaning and engineering application value both in the electric system and the other wind domain.


1993 ◽  
Author(s):  
Koshichi Nemoto ◽  
Rikio Ishikawa ◽  
Yoshibumi Minowa

2016 ◽  
Vol 851 ◽  
pp. 396-401
Author(s):  
Jie Wan ◽  
Guo Rui Ren ◽  
Wen Bo Hao ◽  
Jin Fu Liu ◽  
Da Ren Yu ◽  
...  

Wind power is widely used as a type of clean and renewable energy source in recent years. However, large-scale wind power penetration brings lots of challenges due to the uncertainty of wind speed. As a result, the research of wind speed uncertainty plays an important role in large scale wind power integration. In this paper, the multi-scale amplitude modulation effect of wind speed random fluctuation is found based on actual wind speed data. And the physical mechanism of multi-scale characteristics are presented from the perspective of turbulence. This research has both certain physical academic meaning and engineering application value in wind speed uncertainty research.


2018 ◽  
Vol 861 ◽  
pp. 585-607 ◽  
Author(s):  
Hongyou Liu ◽  
Guohua Wang ◽  
Xiaojing Zheng

Long-term measurements were performed at the Qingtu Lake Observation Array site to obtain high-Reynolds-number atmospheric surface layer flow data ($Re_{\unicode[STIX]{x1D70F}}\sim O(10^{6})$). Based on the selected high-quality data in the near-neutral surface layer, the amplitude modulation between multi-scale turbulent motions is investigated under various Reynolds number conditions. The results show that the amplitude modulation effect may exist in specific motions rather than at all length scales of motion. The most energetic motions with scales larger than the wavelength of the lower wavenumber peak in the energy spectra play a vital role in the amplitude modulation effect; the small scales shorter than the wavelength of the higher wavenumber peak are strongly modulated, whereas the motions with scales ranging between these two peaks neither contribute significantly to the amplitude modulation effect nor are strongly modulated. Based on these results, a method of decomposing the fluctuating velocity is proposed to accurately estimate the degree of amplitude modulation. The corresponding amplitude modulation coefficient is much larger than that estimated by establishing a nominal cutoff wavelength; moreover, it increases log-linearly with the Reynolds number. An empirical model is proposed to parametrize the variation of the amplitude modulation coefficient with the Reynolds number and the wall-normal distance. This study contributes to a better understanding of the interaction between multi-scale turbulent motions and the results may be used to validate and improve existing numerical models of high-Reynolds-number wall turbulence.


Author(s):  
Nadia Ghariani ◽  
Mohamed Salah Karoui ◽  
Mondher Chaoui ◽  
Mongi Lahiani ◽  
Hamadi Ghariani

2011 ◽  
Vol E94-B (7) ◽  
pp. 1809-1814 ◽  
Author(s):  
Isao MOROHASHI ◽  
Takahide SAKAMOTO ◽  
Masaaki SUDO ◽  
Atsushi KANNO ◽  
Akito CHIBA ◽  
...  

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