Abstract — A major concern of cellular and PCS-based wireless location systems is the effect of the harsh propa-gation environment, particularly non-line-of-sight (NLOS) propagation. In order to improve location accuracy under such conditions, many NLOS mitigation algorithms utilize the knowledge of wether the base station (BS)- mobile sta-tion (MS) path is line-of-sight (LOS) or non-line-of-sight (NLOS). In this paper we present four algorithms that uti-lize the received power envelope characteristics to to per-form the NLOS identification. I
grantor: University of TorontoWe consider mobile location determination in code division m...
Sensor networks can benefit greatly from location-awareness, since it allows information gathered by...
none3noLocalisation algorithms based on the estimation of the time-of-arrival of the received signal...
The location of mobile terminals has received considerable attention in the recent years. The perfor...
Non-Line-Of-Sight (NLOS) signal propagation is the major source of error in conventional Time-Of-Arr...
A non-line-of-sight (NLOS) mitigation approach is presented for network-based mobile tracking. A dis...
This chapter reviews many non-line-of-sight (NLOS) identification and localization techniques. NLOS ...
This chapter reviews many non-line-of-sight (NLOS) identification and localization techniques. NLOS ...
A non-line-of-sight (NLOS) mitigation approach is presented for network-based mobile tracking. A dis...
sively deployed and have fostered myriad wireless communication services and ubiquitous computing ap...
sively deployed and have fostered myriad wireless communication services and ubiquitous computing ap...
sively deployed and have fostered myriad wireless communication services and ubiquitous computing ap...
Wireless location using Time of Arrival (TOA) and Time-Difference-Of-Arrival (TDOA) measurements has...
Conventionally, wireless localization schemes work based on the assumption that the sensors/receiver...
The positioning methods based on the received signal strength (RSS) measurement connect the RSS valu...
grantor: University of TorontoWe consider mobile location determination in code division m...
Sensor networks can benefit greatly from location-awareness, since it allows information gathered by...
none3noLocalisation algorithms based on the estimation of the time-of-arrival of the received signal...
The location of mobile terminals has received considerable attention in the recent years. The perfor...
Non-Line-Of-Sight (NLOS) signal propagation is the major source of error in conventional Time-Of-Arr...
A non-line-of-sight (NLOS) mitigation approach is presented for network-based mobile tracking. A dis...
This chapter reviews many non-line-of-sight (NLOS) identification and localization techniques. NLOS ...
This chapter reviews many non-line-of-sight (NLOS) identification and localization techniques. NLOS ...
A non-line-of-sight (NLOS) mitigation approach is presented for network-based mobile tracking. A dis...
sively deployed and have fostered myriad wireless communication services and ubiquitous computing ap...
sively deployed and have fostered myriad wireless communication services and ubiquitous computing ap...
sively deployed and have fostered myriad wireless communication services and ubiquitous computing ap...
Wireless location using Time of Arrival (TOA) and Time-Difference-Of-Arrival (TDOA) measurements has...
Conventionally, wireless localization schemes work based on the assumption that the sensors/receiver...
The positioning methods based on the received signal strength (RSS) measurement connect the RSS valu...
grantor: University of TorontoWe consider mobile location determination in code division m...
Sensor networks can benefit greatly from location-awareness, since it allows information gathered by...
none3noLocalisation algorithms based on the estimation of the time-of-arrival of the received signal...