Low-sampling-rate ultra-wideband channel estimation using equivalent-time sampling

Handle URI:
http://hdl.handle.net/10754/563741
Title:
Low-sampling-rate ultra-wideband channel estimation using equivalent-time sampling
Authors:
Ballal, Tarig; Al-Naffouri, Tareq Y. ( 0000-0003-2843-5084 )
Abstract:
In this paper, a low-sampling-rate scheme for ultra-wideband channel estimation is proposed. The scheme exploits multiple observations generated by transmitting multiple pulses. In the proposed scheme, P pulses are transmitted to produce channel impulse response estimates at a desired sampling rate, while the ADC samples at a rate that is P times slower. To avoid loss of fidelity, the number of sampling periods (based on the desired rate) in the inter-pulse interval is restricted to be co-prime with P. This condition is affected when clock drift is present and the transmitted pulse locations change. To handle this case, and to achieve an overall good channel estimation performance, without using prior information, we derive an improved estimator based on the bounded data uncertainty (BDU) model. It is shown that this estimator is related to the Bayesian linear minimum mean squared error (LMMSE) estimator. Channel estimation performance of the proposed sub-sampling scheme combined with the new estimator is assessed in simulation. The results show that high reduction in sampling rate can be achieved. The proposed estimator outperforms the least squares estimator in almost all cases, while in the high SNR regime it also outperforms the LMMSE estimator. In addition to channel estimation, a synchronization method is also proposed that utilizes the same pulse sequence used for channel estimation. © 2014 IEEE.
KAUST Department:
Electrical Engineering Program
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
IEEE Transactions on Signal Processing
Issue Date:
Sep-2014
DOI:
10.1109/TSP.2014.2340818
Type:
Article
ISSN:
1053587X
Appears in Collections:
Articles; Electrical Engineering Program

Full metadata record

DC FieldValue Language
dc.contributor.authorBallal, Tarigen
dc.contributor.authorAl-Naffouri, Tareq Y.en
dc.date.accessioned2015-08-03T12:08:33Zen
dc.date.available2015-08-03T12:08:33Zen
dc.date.issued2014-09en
dc.identifier.issn1053587Xen
dc.identifier.doi10.1109/TSP.2014.2340818en
dc.identifier.urihttp://hdl.handle.net/10754/563741en
dc.description.abstractIn this paper, a low-sampling-rate scheme for ultra-wideband channel estimation is proposed. The scheme exploits multiple observations generated by transmitting multiple pulses. In the proposed scheme, P pulses are transmitted to produce channel impulse response estimates at a desired sampling rate, while the ADC samples at a rate that is P times slower. To avoid loss of fidelity, the number of sampling periods (based on the desired rate) in the inter-pulse interval is restricted to be co-prime with P. This condition is affected when clock drift is present and the transmitted pulse locations change. To handle this case, and to achieve an overall good channel estimation performance, without using prior information, we derive an improved estimator based on the bounded data uncertainty (BDU) model. It is shown that this estimator is related to the Bayesian linear minimum mean squared error (LMMSE) estimator. Channel estimation performance of the proposed sub-sampling scheme combined with the new estimator is assessed in simulation. The results show that high reduction in sampling rate can be achieved. The proposed estimator outperforms the least squares estimator in almost all cases, while in the high SNR regime it also outperforms the LMMSE estimator. In addition to channel estimation, a synchronization method is also proposed that utilizes the same pulse sequence used for channel estimation. © 2014 IEEE.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.subjectADCen
dc.subjectBDUen
dc.subjectBounded data uncertaintyen
dc.subjectChannel estimationen
dc.subjectLinear minimum mean squared erroren
dc.subjectLMMSEen
dc.subjectSub-samplingen
dc.subjectUltra-widebanden
dc.subjectUWBen
dc.titleLow-sampling-rate ultra-wideband channel estimation using equivalent-time samplingen
dc.typeArticleen
dc.contributor.departmentElectrical Engineering Programen
dc.identifier.journalIEEE Transactions on Signal Processingen
dc.contributor.institutionElectrical EngineeringDepartment, King Fahd University of Petroleum and Minerals (KFUPM), Dhahran 3126, Saudi Arabiaen
kaust.authorAl-Naffouri, Tareq Y.en
kaust.authorBallal, Tarigen
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