期刊文献+
共找到2篇文章
< 1 >
每页显示 20 50 100
INVESTIGATION ON SELF-PROPAGATING HIGH-TEMPERATURE SYNTHESIS OF TiAl INTERMETALLIC COMPOUND
1
作者 王为民 徐慢 梅柄初 《Journal of Wuhan University of Technology(Materials Science)》 SCIE EI CAS 1995年第3期1-5,共5页
The self-propagating high-temperature syn-thesis method was used to synthesize the TiAl intermetallic compound, and two kinds of synthesis modes were studied in this paper. The results show that the thermal explosion ... The self-propagating high-temperature syn-thesis method was used to synthesize the TiAl intermetallic compound, and two kinds of synthesis modes were studied in this paper. The results show that the thermal explosion mode is suitable for the synthesis of TiAl ,the pre-heating tempera-ture has a great influence on the synthesis. Microstructure study show that the density of the sample fabricated by ther-mal explosion mode is higher than that fabricated by propa-gating mode. 展开更多
关键词 SHS propgating mode thermal ex- plosion mode TIAL
在线阅读 下载PDF
A Method of Characterizing Radio Signal Space for Wireless Device Localization 被引量:4
2
作者 John-Austen Francisco Richard P.Martin 《Tsinghua Science and Technology》 SCIE EI CAS CSCD 2015年第4期385-408,共24页
In this work we present a novel approach for describing radio signal spaces for localization algorithms. We first introduce a new metric, the Discretely Distributed Log-H61der Metric (DDLHM). The DDLHM is designed t... In this work we present a novel approach for describing radio signal spaces for localization algorithms. We first introduce a new metric, the Discretely Distributed Log-H61der Metric (DDLHM). The DDLHM is designed to characterize the type and degree of signal distortion relative to Iognormal signal-to-distance path models. We first show how the DDLHM can describe and discriminate distortions in an exhaustive set of synthetic signal spaces. We then determine a reduced set of maximally diagnostic distortion parameters. Using only 4% of the maximal set of DDLHMs, we found the reduced set matches with an acceptable degree of error 95% of the time. Using the synthetic reduced set, we characterized a variety of wireless localization algorithms' behaviors to attenuation, bias, and multipath. We found algorithms made much different tradeoffs between best case and average case error. We then use the DDLHM to identify distortion types in three different physical environments using measured 802.11 signal strengths, and predict the positioning performance of several localization algorithms. Our approach predicts average localization error to within 2 meters of the observed average error. 展开更多
关键词 radio propgation 802.11 WIFI
原文传递
上一页 1 下一页 到第
使用帮助 返回顶部