1、 4 Han T ao, L u Xiaochu n, Lan Qi. Pattern Recognition Based Kal-m an Filter for Indoor L ocalization U sing T DOA Algorithm J .Appl Math Modell, 2010, 34( 10) : 2 893-2 900l : 2010-06-30bTe: C, S 3,C g? EbE-mail: magic. hitlen gmail. comRESPECTIVEKALMANFILTERALGORITHMFOR INDOORLOCALIZATIONUNDERURB
2、ANENVIRONMENTXULong(College of Architecture and UrbanPlanning, Huazhong Universityof Science and Technology, 1037 LuoyuRoad, Wuhan430074, China)ABSTRACT W e approved a dimension reducing kalman filter ( DRKF) which fit for the UWBindoor localizat ion system. In the situation of UWB indoor localizat
3、ion, the LSE optimize algo-rithm, DRKF and TOA spherical surface localization algorithm were combined together to forman indoor localization algorithm. The validity of the new algorithm w as validated via numericalsimulation and physical experimentat ion.KEY WORDS urban environment ; indoor localiza
4、tion; Kalman Filter; TOA; irrelevance “ :SE/ 97390 “( 2006CB701305)bcI|: 1007- 3817( 2010) 04-0042- 03ms |: P208 DS : B最优插值全球海表温度数据格式分析及显示方法秦 昆 孔令桥 刘 瑶(武汉大学遥感信息工程学院,武汉市珞喻路129号, 430079)K 1 介绍了最优插值全球海表温度数据; 分析了NetCDF的特点, 实现了利用ArcGIS和M atlab读取并显示Net CDF 海表温度数据的方法b1oM 海表温度; NetCDF; ArcGIS; M atlabZVSST(
5、 Sea Surface T emperat ure) o M1 1bZ* y | oZV 4 r m b *. PQ E, VZV bZV # PZE, VZVa s oM4$bs oZV ,is K oZV ; Y TNetCDF ( Netw ork Common Data For-mat)# +, LC ArcGISM at lab |A UNetCDF TZV ZEb1 K oZV 1) oZV b d o MZ “11T, | m 1 YVZ*4,1ZE $o 2b “ - ?4SST . ,1 E . a . o. 3 ,n SNOAA“ .sO q 9NOAA/ AVH RR,
6、 SAquaTerrasO qm; NM ODIS, SGOES“ N( GOES/ Imager) , 4 oNTRM M / TM I, Aquao 9- o4“dAM SR- Eb “,. , PQ E, VZVSST b2)KZV b oZV 1 , KZE,4a*# E 8b “ -, VV o“d L i | 4 ,V o “ | 5 ,9 VVS S Z | 6b o“d Li4K oZV 4 : 1981 M1029 ( a1981 M12 ( , bWsO q1b 1b,“ o ,NetCDF Tb o “4K oZV ( GHRSST- PP)5 : Sa xa v T 3
7、sO q ZV “, a b “cNOAA- AVH RRsO qKZV4) , o , bWsO q0. 25b 0. 25b, HWsO q ?, HWS1981 M91,NetCDF TbM oZV 42 Journal of Geomat ics Aug. 2010; 35( 4), “ bWsO q HWsO qbS S Z4K oZV 6 : o , bWsO q1b 1b, HW1981 M101 ,s ( ( * ,NetCDF Tb2 NetCDF TsNetCDF Y T SSE S 7?Y i |Z T, V ri%a5 a |s? T7b V9 P, 7a)9 sUNI
8、XT_bNetCDF T “ VYV . , P a q“dxp Vi |bZV i%4NetCDF T, 1 , V | i % aM # b ?h |, bNetCDFq V P |7y, V js M at lab, IDL, FERRET, V |NetCDF b (NetCDF T1YVg T, NetCDF r|ai%v , P ? HWs P ,7 B“ 1l= TI gbNetCDF1+: B1 = T; i , V PZ Ti |t ; Vr , |v “0 “ H |, V |1 ; V BF, “l ; V q |i PI, C, C+ + , Fortran, IDL,
9、Pyt hon, PerlJavabNetCDF BZLa?Sa1 a . 1 T, B _ g,B1s q o“,4 q g LCbyN, NetCDF Wv Z S 5bNetCDF “(q . nc)M a FbM i% L= , M , 5 M “35( 4)ArcGlobe A UbArcM apu 7Arc-Globe,FZVEm, bWA U o 8m, d u VAbArcGlobeA UZVEm m5 Ub Spin Counter- Clockwise f V P o, A U oZVs f bm5VA U ZVmbm5 ArcGlobeA UZVEm2)M atlab |
10、A UZEbAVH RRsOqKZV4) , n5,M atlabNetCDFqb , |NetCDF T b P / nc-dump0 7 V ANetCDFq, : 7y a bWsO qa HWSS ;a HW;aaZVa HWasaZ d aZb M bM atlab,5Ia |iA UNetCDF TZV mq, Pnetcdff | M b “ d u ZV b, | du !BZV b Pcont-ourff ZV , oZVA UTbM atlab | oZV( 7 f) m6 U,mUS,:US, HV Um6 Matlab | oZV( 7 f)b4 oZV K oZV $
11、 ,s Net CDF+,i) ArcGISM atlab |A UNetCDFZV ZEbVAUT V AZV os f ,YVFLS MZE4 |ZV bW M t bB : A U oZV HWM?paV oZV H ! o M 1? p Mb ID1 Reynolds R W , Rayner N A, Sm ith T M. An Impr oved In S ituand S atellite S ST Analysis for Clim ate J . Journal of Clim ate,2002, 15: 1 609-1 625 2 刘良明, 刘廷, 刘建强, 等. 卫星海
12、洋遥感导论 M , 武汉: 武汉大学出版社, 2005 3 刘恒. 多传感器卫星海表温度数据的印证与交叉比较 D . 青岛: 中国海洋大学, 2008 4 Earth System Research Lab oratory. NOAA Optimu m Interpola-tion ( OI) Sea S urface T em perature ( SST ) V2 EB/ OL . 2010-03- 10 . http: / / w w w. esrl. noaa. gov/ psd/ data / gr idded/ 5 Jet Propulsion Laboratory. GDAC D
13、ata Access EB/ OL . 2010- 03-10 . http: / / ghrsst. jpl. nasa. gov/ 6 中国气象科学数据共享服务网. 最优插值海表温度( NOAA ) EB/ OL . 2010-03-10 . http: / / cdc. cma. g ov. cn / 7 贾俊涛, 孟婵媛, 宋海英, 等. 基于NetCDF 的海底地形网格数据模型创建与调度 J . 海洋测绘, 2007, 27( 5) : 22- 25l : 2010-04-22bBTe: U ,p V, q,C1 bW s bW !bE-mail: qinku n163 163. c
14、omANALYSISAND DISPLAYOFOPTIMUM INTERPOLATIONGLOBAL SSTQINKun KONGLingqiao LIUYao(School of Remote Sensing InformationEngineering, WuhanUniversity, 129 LuoyuRoad, Wuhan430079, China)ABSTRACT W e introduce remote sensing satelliate sensors and data sources of global SST( seasurface temperature) , and
15、focus on the introduction of Optimum Int erpolat ion SST. The dataformat of NetCDF and its characterist ics are analyzed, and the methods of reading and displa-ying SST in NetCDF w ith ArcGIS and M atlab are implement ed.KEY WORDS sea surface temperature; NetCDF; ArcGIS; matlab精密工程与工业测量国家测绘局重点实验室召开第
16、二次学术委员会日前,精密工程与工业测量国家测绘局重点实验室召开了第一届学术委员会第二次全体会议b国家测绘局副局长李维森,武汉大学副校长蒋昌忠, 湖北省测绘局局长张建仁a国家测绘局国土测绘司副司长吴岚,中国工程院院士刘经南等领导和专家出席了会议b实验室主任徐亚明教授介绍了实验室2009年运行情况a存在问题及今后发展思路b实验室2009年在教学a科研和人才培养等方面取得了较大成绩,在职科研人员的科研经费达到4 000多万元人民币,有 8项成果获得省部级科技进步奖, 在国内外重要期刊和国际会议上发表论文74篇,取得了1项发明专利和4 项软件著作权登记, 实验室开放基金达到70万元b今后将从大型工程出发, 解决其中的关键测绘难题, 争取在工程测量领域为国家做出更大贡献b44 Journal of Geomat ics Aug. 2010; 35( 4)
