TY - GEN
T1 - Specific Study of Delta Range Positioning
AU - Alexandre, Vervisch Picois
AU - Nel, Samama
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/11/13
Y1 - 2018/11/13
N2 - There are several ways to carry out positioning in difficult environment like indoors. Most of those methods use physical measurements from a beacon (radio, sound or light). One way consists of acquiring a propagation time of a signal or a variation of a propagation time to get a distance or a distance variation between the beacon and the antenna that we want to position. We can use radar, radio beacons (like pseudolites or any kind of equivalent networks), Ultra Wide Band or ultrasound beacons. The ultimate issue consists of obtaining the better positioning in terms of accuracy with physical measurements that are equivalent to distance measurements. The purpose of this article is to study an algorithm that allows carrying out absolute indoor positioning with distance variation measurements. In a previous paper, we had presented an algorithm that is adapted from the least-square algorithm used by the GNSS receivers. In the present paper we are discussing about the limitations of the algorithm and we propose a method to study these limitations in detail. Finally we carry out the algorithm to study its performance from real measurements.
AB - There are several ways to carry out positioning in difficult environment like indoors. Most of those methods use physical measurements from a beacon (radio, sound or light). One way consists of acquiring a propagation time of a signal or a variation of a propagation time to get a distance or a distance variation between the beacon and the antenna that we want to position. We can use radar, radio beacons (like pseudolites or any kind of equivalent networks), Ultra Wide Band or ultrasound beacons. The ultimate issue consists of obtaining the better positioning in terms of accuracy with physical measurements that are equivalent to distance measurements. The purpose of this article is to study an algorithm that allows carrying out absolute indoor positioning with distance variation measurements. In a previous paper, we had presented an algorithm that is adapted from the least-square algorithm used by the GNSS receivers. In the present paper we are discussing about the limitations of the algorithm and we propose a method to study these limitations in detail. Finally we carry out the algorithm to study its performance from real measurements.
KW - Carrier phase measurements
KW - Least-Square algorithme
KW - Pseudolite
U2 - 10.1109/IPIN.2018.8533861
DO - 10.1109/IPIN.2018.8533861
M3 - Conference contribution
AN - SCOPUS:85059054560
T3 - IPIN 2018 - 9th International Conference on Indoor Positioning and Indoor Navigation
BT - IPIN 2018 - 9th International Conference on Indoor Positioning and Indoor Navigation
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 9th International Conference on Indoor Positioning and Indoor Navigation, IPIN 2018
Y2 - 24 September 2018 through 27 September 2018
ER -