Since it's made up of over 7,000 islands,the Philippines is not a nation with a well‑developed railway transportation.That means coach buses are going to be your best bet for getting city‑to‑city.There is a small ...Since it's made up of over 7,000 islands,the Philippines is not a nation with a well‑developed railway transportation.That means coach buses are going to be your best bet for getting city‑to‑city.There is a small light rail system called the Light Rail Transit(LRT)in the Metro Manila area,but it's desperately inefficient.展开更多
利用COSMIC提供的GPS无线电掩星观测数据,从掩星弯曲角廓线出发确定对流层顶高度,并分别与对应的掩星温度廓线确定的温度最低点对流层顶(cold point tropopause,CPT)和温度递减率对流层顶(lapse rate tropopause,LRT)、无线电探空(距离...利用COSMIC提供的GPS无线电掩星观测数据,从掩星弯曲角廓线出发确定对流层顶高度,并分别与对应的掩星温度廓线确定的温度最低点对流层顶(cold point tropopause,CPT)和温度递减率对流层顶(lapse rate tropopause,LRT)、无线电探空(距离掩星事件300km以内、观测时间差异3h以内)温度廓线确定的CPT和LRT进行了对比。展开更多
超宽带(Ultra Wide Band,UWB)室内定位系统的定位性能主要受信号非视距(None Line Of Sight,NLOS)传播影响。为此该文提出一种基于信道统计量(Channel Statistics Information,CSI)的信道NLOS状态检测法。该方法首先在IEEE802.15.4a信...超宽带(Ultra Wide Band,UWB)室内定位系统的定位性能主要受信号非视距(None Line Of Sight,NLOS)传播影响。为此该文提出一种基于信道统计量(Channel Statistics Information,CSI)的信道NLOS状态检测法。该方法首先在IEEE802.15.4a信道模型下对均方根时延扩展和平均超量延迟的概率分布函数进行建模,作为信道标准分布。再以信道瞬时分布与标准分布间的KL散度为检验统计量做似然比检验(Likelihood Ratio Test,LRT)来鉴别信道状态。同时提出一种基于LRT的定位算法LRT-Chan算法。该算法能有效利用受NLOS污染的测距数据提高定位精度。仿真结果表明:LRT信道状态检测法在全部UWB信道中都能获得较高检测准确率;在定位锚点(Anchor Node,AN)分布不理想的NLOS环境中LRT-Chan算法也能取得较高定位精度。展开更多
文摘Since it's made up of over 7,000 islands,the Philippines is not a nation with a well‑developed railway transportation.That means coach buses are going to be your best bet for getting city‑to‑city.There is a small light rail system called the Light Rail Transit(LRT)in the Metro Manila area,but it's desperately inefficient.
文摘利用COSMIC提供的GPS无线电掩星观测数据,从掩星弯曲角廓线出发确定对流层顶高度,并分别与对应的掩星温度廓线确定的温度最低点对流层顶(cold point tropopause,CPT)和温度递减率对流层顶(lapse rate tropopause,LRT)、无线电探空(距离掩星事件300km以内、观测时间差异3h以内)温度廓线确定的CPT和LRT进行了对比。
文摘超宽带(Ultra Wide Band,UWB)室内定位系统的定位性能主要受信号非视距(None Line Of Sight,NLOS)传播影响。为此该文提出一种基于信道统计量(Channel Statistics Information,CSI)的信道NLOS状态检测法。该方法首先在IEEE802.15.4a信道模型下对均方根时延扩展和平均超量延迟的概率分布函数进行建模,作为信道标准分布。再以信道瞬时分布与标准分布间的KL散度为检验统计量做似然比检验(Likelihood Ratio Test,LRT)来鉴别信道状态。同时提出一种基于LRT的定位算法LRT-Chan算法。该算法能有效利用受NLOS污染的测距数据提高定位精度。仿真结果表明:LRT信道状态检测法在全部UWB信道中都能获得较高检测准确率;在定位锚点(Anchor Node,AN)分布不理想的NLOS环境中LRT-Chan算法也能取得较高定位精度。
