OFDM
Relay
Cognitive Radio
Multiple Antennas
Resource Allocation
Full Duplex
Spectrum Sensing
Synchronization
Spectrum Sharing
Interference Cancellation
Channel Estimation
Feedback
Heterogeneous Networks
Energy Harvesting
Stochastic Geometry
Bi-directional
Equalization
relay networks
FBMC
HetNet
CDMA
channel capacity
SC-FDMA
interference
MIMO
Ultra Low Power
Duplex
TVWS
CLI
in-band full-duplex system
D-TDD
interference suppression
Reliability
5G
C-V2V
indoor positioning
reinforcement learning
RSRP weighting
User grouping
Rat-dependent positioning
Communication range
multi-access edge computing
hybrid
- Computation offloading
—Device-to-device (D2D)
estimated position updating
control overhead
resource block management
estimated position overlapping
Femtocell
NR positioning
frame structure
Zigbee
body area networks
channel estimation error
Handoff
CoMP
packet delay
power uncertainty
ultra-dense small cell network
GFDM
antenna arrays
5G mobile communication
UFMC
WVAN
mode selection
inter user interference
health care
Vehicular communication
cross-link interference
resource selection
FS-NOMA
Dynamic TDD
Number of training blocks
Mode 3
Uplink SCMA system
Multi-user Receiver
LTE-TDD
user fairness
smart factory
V2X
Metaheuristics
Location-based
QR Factorization
partial overlap
P-NOMA
dynamic HetNet
spectrum partitioning
Cell-free
and 5G networks.
overloading
massive connectivity
DQN
mMIMO
distributed mode
non-orthogonal multiple access
OTDOA
maximum likelihood method
Resource sharing
Power allocation
non-orthogonal multiple access (NOMA)
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Goohyun Park, Daesik Hong and Changeon Kang, "Level Crossing Rate Estimation with Doppler Adaptive Noise Suppression Technique in Frequency Domain", IEEE VTC, Oct. 2003
[IEEE VTC]
조회 113114
Status : | Presented |
---|---|
Date : | 2003-10 |
Title : | Level Crossing Rate Estimation with Doppler Adaptive Noise Suppression Technique in Frequency Domain |
Authors : | Goohyun Park, Daesik Hong and Changeon Kang |
Conference : | IEEE Conference Vehicular Technology |
Abstract : | The maximum Doppler frequency, or, equivalently, the mobile speed, is very useful information for optimizing the performance of many wireless communication systems. The paper proposes an improved method for estimating the maximum Doppler frequency based on the level crossing rate (LCR) estimator. To reduce the effect of additive noise, the proposed algorithm uses a novel Doppler adaptive noise suppression (DANS) process in the frequency domain. The proposed DANS process does not require additional channel information such as signal-to-noise ratio (SNR). |
URL : | http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1285210 |
Download : | http://mirinae.yonsei.ac.kr/?module=file...3a6d18e5b2 |
Goohyun Park; Daesik Hong; Changeon Kang; , "Level crossing rate estimation with
Doppler adaptive noise suppression technique in frequency domain," Vehicular
Technology Conference, 2003. VTC 2003-Fall. 2003 IEEE 58th , vol.2, no., pp.
1192- 1195 Vol.2, 6-9 Oct. 2003
doi: 10.1109/VETECF.2003.1285210
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1285210&isnumber=28569
doi: 10.1109/VETECF.2003.1285210
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1285210&isnumber=28569
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