Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Implementation of filtered preamble GFDM system using USRP

View through CrossRef
Abstract Data rate performance of the modern multicarrier techniques like generalized frequency division multiplexing (GFDM) has been significantlly limited by vital impairments like symbol time offset (STO) and carrier frequency offset (CFO). Traditional data aided methods of synchronization avoid the effect of egress noise in pilot preamble and hence destroying the spectral advantage of GFDM system. To safeguard this advantage, preamble needs to be pulse shaped. The main contribution of this paper is the derivation of generalized maximum likelihood (ML) estimation of frequency and time offsets for receiver synchronization in GFDM systems, using the modified preamble by the application of matrix inversion lemma. The dependency of the choice of the filter on Cramer-Rao lower bound (CRLB) of frequency offset estimation is also emphasized. The performance of the system is analysed over additive white Gaussian noise (AWGN) and multipath channel environments. The authors carried out real time implementation of GFDM system using IEEE 802.11 short preamble in indoor environments by employing national instruments (NI) universal software radio peripheral (USRP) 2953R boards as hardware platform which is interfaced with LABVIEW for practical validations of the results.
Springer Science and Business Media LLC
Title: Implementation of filtered preamble GFDM system using USRP
Description:
Abstract Data rate performance of the modern multicarrier techniques like generalized frequency division multiplexing (GFDM) has been significantlly limited by vital impairments like symbol time offset (STO) and carrier frequency offset (CFO).
Traditional data aided methods of synchronization avoid the effect of egress noise in pilot preamble and hence destroying the spectral advantage of GFDM system.
To safeguard this advantage, preamble needs to be pulse shaped.
The main contribution of this paper is the derivation of generalized maximum likelihood (ML) estimation of frequency and time offsets for receiver synchronization in GFDM systems, using the modified preamble by the application of matrix inversion lemma.
The dependency of the choice of the filter on Cramer-Rao lower bound (CRLB) of frequency offset estimation is also emphasized.
The performance of the system is analysed over additive white Gaussian noise (AWGN) and multipath channel environments.
The authors carried out real time implementation of GFDM system using IEEE 802.
11 short preamble in indoor environments by employing national instruments (NI) universal software radio peripheral (USRP) 2953R boards as hardware platform which is interfaced with LABVIEW for practical validations of the results.

Related Results

MIMO spread spectrum GFDM communication systems with index modulation
MIMO spread spectrum GFDM communication systems with index modulation
SummaryIn the fourth‐generation communication system (4G), orthogonal frequency division multiplexing (OFDM) is widely used. However, due to the cyclic prefix (CP) being added, the...
Emerging 5G Multicarrier Chaotic Sequence Spread Spectrum Technology for Underwater Acoustic Communication
Emerging 5G Multicarrier Chaotic Sequence Spread Spectrum Technology for Underwater Acoustic Communication
Generalized frequency division multiplexing (GFDM) is a newly introduced technique for the wireless fifth‐generation (5G) standard based on multicarrier filter bank theory, which h...
FREQUENCY OF SIGNS/SYMPTOMS OF HYPOMAGNESAEMIA IN USERS OF FILTERED WATER AS COMPARED TO USERS OF TAP WATER
FREQUENCY OF SIGNS/SYMPTOMS OF HYPOMAGNESAEMIA IN USERS OF FILTERED WATER AS COMPARED TO USERS OF TAP WATER
Introduction: Filteration of water lowers its magnesium level. Magnesium is important mineral used in over 300 enzymes and its deficiency leads to various diseases of nerves, muscl...
Machine Learning Enabled Preamble Collision Resolution in Distributed Massive MIMO
Machine Learning Enabled Preamble Collision Resolution in Distributed Massive MIMO
Preamble collision is a bottleneck that impairs the performance of random access (RA) user equipment (UE) in grant-free RA (GFRA). In this paper, by leveraging distributed massive ...
Machine Learning Enabled Preamble Collision Resolution in Distributed Massive MIMO
Machine Learning Enabled Preamble Collision Resolution in Distributed Massive MIMO
Preamble collision is a bottleneck that impairs the performance of random access (RA) user equipment (UE) in grant-free RA (GFRA). In this paper, by leveraging distributed massive ...
Machine Learning Enabled Preamble Collision Resolution in Distributed Massive MIMO
Machine Learning Enabled Preamble Collision Resolution in Distributed Massive MIMO
Preamble collision is a bottleneck that impairs the performance of random access (RA) user equipment (UE) in grant-free RA (GFRA). In this paper, by leveraging distributed massive ...
GFDM Zero Forcing Equalizer for Large Doppler Shift in Correlated Double Ring Channel Models
GFDM Zero Forcing Equalizer for Large Doppler Shift in Correlated Double Ring Channel Models
The nature of wireless communication channels evolves throughout time. Depending on the channel model, wireless communication channels can also be affected by a number of key facto...
Improving the accuracy of self-reported height and weight in surveys: An experimental study
Improving the accuracy of self-reported height and weight in surveys: An experimental study
Abstract Background Many studies rely on self-reported height and weight. While a substantial body of literature exists on misreporting of height and weight, little exists...

Back to Top