计算机应用研究
計算機應用研究
계산궤응용연구
APPLICATION RESEARCH OF COMPUTERS
2015年
5期
1424-1427,1440
,共5页
三维混合定位%HWLS RSS/TDOA%Nakagami-m 分布
三維混閤定位%HWLS RSS/TDOA%Nakagami-m 分佈
삼유혼합정위%HWLS RSS/TDOA%Nakagami-m 분포
hybrid 3D positioning%HWLS RSS /TDOA%Nakagami-m distribution
针对复杂室内环境下视距(line of sight,LOS)和非视距(not line of sight,NLOS)并存的三维混合定位技术进行了研究。在 LOS 环境下,基于到达时间差(time difference of arrival,TDOA)定位算法优于其他定位技术;但受到室内环境尤其是 NLOS 环境下的多径效应,TDOA 定位的精准度大大减弱。若能够正确评估传播衰减系数以此补偿多径效应带来的影响,那么基于接收信号强度(received signal strength,RSS)定位算法受到 NLOS 多径效应的影响将大大减小。提出了三维混合加权最小二乘(hybrid weighted least square,HWLS)RSS /TDOA 算法,通过使用 Nakagami-m 分布鉴定当前信道是 LOS /NLOS 路径,用于室内环境下的目标定位,并通过实验验证该算法提高了定位精度。
針對複雜室內環境下視距(line of sight,LOS)和非視距(not line of sight,NLOS)併存的三維混閤定位技術進行瞭研究。在 LOS 環境下,基于到達時間差(time difference of arrival,TDOA)定位算法優于其他定位技術;但受到室內環境尤其是 NLOS 環境下的多徑效應,TDOA 定位的精準度大大減弱。若能夠正確評估傳播衰減繫數以此補償多徑效應帶來的影響,那麽基于接收信號彊度(received signal strength,RSS)定位算法受到 NLOS 多徑效應的影響將大大減小。提齣瞭三維混閤加權最小二乘(hybrid weighted least square,HWLS)RSS /TDOA 算法,通過使用 Nakagami-m 分佈鑒定噹前信道是 LOS /NLOS 路徑,用于室內環境下的目標定位,併通過實驗驗證該算法提高瞭定位精度。
침대복잡실내배경하시거(line of sight,LOS)화비시거(not line of sight,NLOS)병존적삼유혼합정위기술진행료연구。재 LOS 배경하,기우도체시간차(time difference of arrival,TDOA)정위산법우우기타정위기술;단수도실내배경우기시 NLOS 배경하적다경효응,TDOA 정위적정준도대대감약。약능구정학평고전파쇠감계수이차보상다경효응대래적영향,나요기우접수신호강도(received signal strength,RSS)정위산법수도 NLOS 다경효응적영향장대대감소。제출료삼유혼합가권최소이승(hybrid weighted least square,HWLS)RSS /TDOA 산법,통과사용 Nakagami-m 분포감정당전신도시 LOS /NLOS 로경,용우실내배경하적목표정위,병통과실험험증해산법제고료정위정도。
This paper investigated 3D positioning in an indoor line of sight (LOS)and nonline of sight (NLOS)combined en-vironment.It was a known fact that time-difference-of-arrival-(TDOA-)based positioning outperforms MS other techniques in LOS environments;however,multipath in an indoor environment,especially NLOS multipath,significantly decreased the accu-racy of TDOA positioning.On the other hand,received-signal-strength-(RSS-)based positioning was not affected so much by NLOS multipath as long as the propagation attenuation could be correctly estimated and the multipath effects had been compen-sated for.Based on the fact,it proposed a hybrid weighted least square (HWLS)RSS /TOA method for target positioning in an indoor LOS /NLOS environment.It implemented the identification of LOS /NLOS path by using Nakagami-m distribution.An ex-periment verifies our proposed scheme.