OFDM
Relay
Cognitive Radio
Multiple Antennas
Resource Allocation
Full Duplex
Spectrum Sensing
Synchronization
Spectrum Sharing
Interference Cancellation
Channel Estimation
Feedback
Stochastic Geometry
Bi-directional
Energy Harvesting
Heterogeneous Networks
FBMC
HetNet
Equalization
relay networks
Ultra Low Power
TVWS
MIMO
interference
SC-FDMA
CDMA
Duplex
channel capacity
interference suppression
5G
Reliability
C-V2V
in-band full-duplex system
OCBT
CLI
body area networks
5G mobile communication
antenna arrays
NR positioning
health care
Resource sharing
Location-based
LTE-TDD
FS-NOMA
Power allocation
OTDOA
hybrid
control overhead
estimated position overlapping
resource block management
amplify and forward communication
power uncertainty
CoMP
quality of service
cellular radio
Rat-dependent positioning
telecommunication traffic
Handoff
Femtocell
inter user interference
UFMC
mode selection
GFDM
QAM
Zigbee
frame structure
Vehicular communication
Vehicle-to-vehicle communication
non-orthogonal multiple access
QR Factorization
Spatial capacity
LTE-based V2V
Number of training blocks
Communication range
user fairness
Mode 3
resource selection
distributed mode
maximum likelihood method
Metaheuristics
cross-link interference
Dynamic TDD
Uplink SCMA system
V2X
DQN
estimated position updating
—Device-to-device (D2D)
D-TDD
dynamic HetNet
indoor positioning
spectrum partitioning
- Computation offloading
multi-access edge computing
P-NOMA
partial overlap
Subband filtering
Multi-user Receiver
reinforcement learning
RSRP weighting
smart factory
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Sooyong Choi, KyunByoung Ko and Daesik Hong, "Equalization Techniques Using A Simplified Bilinear Recursive Polynomial Perceptron with Decision Feedback", IJCNN, Jun. 2001
[IEEE IJCNN]
조회 58123
Status : | Presented |
---|---|
Date : | 2001-07 |
Title : | Equalization Techniques Using A Simplified Bilinear Recursive Polynomial Perceptron with Decision Feedback |
Authors : | Sooyong Choi, KyunByoung Ko and Daesik Hong |
Conference : | IEEE International Joint Conference on Neural Networks |
Abstract : | This paper presents nonlinear blind equalization techniques using an adaptive bilinear polynomial filter. Two types of blind adaptive bilinear polynomial equalizers with reduced bilinear terms are proposed. One is a blind bilinear polynomial decision feedback equalizer using conventional constant modulus algorithm, which uses previous detected symbols. The other is a blind predictive constant modulus bilinear decision feedback equalizer, which uses error signals. In proposed equalizers, the input of the bilinear section is composed of the feedback inputs multiplied by not overall but middle parts of feedforward inputs. It can be seen by various simulations that proposed simplified blind bilinear equalizers perform better than the conventional blind decision feedback equalizer (DFE) and has almost the same performance as the conventional DFE using training sequences in a digital communication system |
URL : | http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=938834 |
Sooyong Choi; Kyunbyoung Ko; Daesik Hong; , "Equalization techniques using a
simplified bilinear recursive polynomial perceptron with decision feedback,"
Neural Networks, 2001. Proceedings. IJCNN '01. International Joint Conference
on , vol.4, no., pp.2883-2888 vol.4, 2001
doi:
10.1109/IJCNN.2001.938834
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=938834&isnumber=20315
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