OFDM
Relay
Cognitive Radio
Multiple Antennas
Resource Allocation
Full Duplex
Spectrum Sensing
Synchronization
Spectrum Sharing
Channel Estimation
Interference Cancellation
Stochastic Geometry
Energy Harvesting
Feedback
Bi-directional
Heterogeneous Networks
Equalization
HetNet
relay networks
FBMC
Ultra Low Power
SC-FDMA
TVWS
Duplex
Reliability
CDMA
MIMO
interference
channel capacity
in-band full-duplex system
interference suppression
5G
C-V2V
reinforcement learning
RSRP weighting
non-orthogonal multiple access (NOMA)
health care
5G mobile communication
indoor positioning
Vehicle-to-vehicle communication
estimated position overlapping
Resource sharing
Power allocation
multi-access edge computing
control overhead
hybrid
Rat-dependent positioning
NR positioning
smart factory
UFMC
Handoff
Femtocell
QAM
CoMP
power uncertainty
- Computation offloading
amplify and forward communication
Zigbee
body area networks
resource block management
frame structure
WVAN
inter user interference
GFDM
mode selection
antenna arrays
partial overlap
LTE-based V2V
resource selection
maximum likelihood method
Communication range
Number of training blocks
Vehicular communication
Uplink SCMA system
Dynamic TDD
QR Factorization
Metaheuristics
FS-NOMA
cross-link interference
user fairness
Multi-user Receiver
Mode 3
V2X
P-NOMA
dynamic HetNet
spectrum partitioning
DQN
D-TDD
CLI
massive connectivity
and 5G networks.
OTDOA
estimated position updating
distributed mode
non-orthogonal multiple access
Spatial capacity
LTE-TDD
—Device-to-device (D2D)
Location-based
overloading
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Jemin Lee, Hyungjoon Song, Sungmok Oh and Daesik Hong, "An Improved Location Tracking Algorithm with Velocity Estimation in Cellular Radio Networks", IEEE VTC, May 2006
[IEEE VTC]
조회 112093
Status : | Presented |
---|---|
Date : | 2006-05 |
Title : | An Improved Location Tracking Algorithm with Velocity Estimation in Cellular Radio Networks |
Authors : | Jemin Lee, Hyungjoon Song, Sungmok Oh and Daesik Hong |
Conference : | IEEE Conference Vehicular Technology |
Abstract : | The location tracking of a mobile station is required to support the location-based services and the radio resource management. The improved location tracking algorithm which uses the Kalman filter with the velocity renovation process is proposed. The velocity renovation process consists of a velocity estimator and a direction finder. By this process, the proposed algorithm can use accurately estimated velocity in the location estimation. The proposed algorithm reduces more than 66% of the location estimation error and shortens the transient time of estimation compared to the Kalman filtering method in M. Hellebrandt and R. Mathar, (1999). The performance of the proposed algorithm is verified in the aspect of the outage probability and the location error ratio |
URL : | http://ieeexplore.ieee.org/xpl/articleDe...o+Networks |
Download : | http://mirinae.yonsei.ac.kr/?module=file...33f243c2b7 |
Jemin Lee; Hyungjoon Song; Sungmok Oh; Daesik Hong; , "An Improved Location Tracking Algorithm with Velocity Estimation in Cellular Radio Networks," Vehicular Technology Conference, 2006. VTC 2006-Spring. IEEE 63rd , vol.2, no., pp.618-622, 7-10 May 2006
doi: 10.1109/VETECS.2006.1682898
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1682898&isnumber=35442
doi: 10.1109/VETECS.2006.1682898
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1682898&isnumber=35442
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