Joint detection and channel estimation based on sparse representation for LTE systems

Yuriy Zakharov; Rodrigo C. de Lamare; D. Zheng; X. Tang; K. Wang

doi:10.1109/ICDSP.2017.8096081

Joint detection and channel estimation based on sparse representation for LTE systems

Yuriy Zakharov, Rodrigo C. de Lamare, D. Zheng, X. Tang, K. Wang

Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this paper, we consider the detection problem in a communication receiver as a sparse representation and reconstruction problem. This approach allows joint channel estimation and detection as opposed to the traditional approach, first estimation of the channel using pilot symbols and then, based on channel estimates, detection of data symbols. The sparse representation approach is employed for detection of Long-Term Evolution (LTE) Physical Uplink Control Channel (PUCCH) signals in highly loaded multiuser scenarios with unknown user channels. Simulations show the superior performance of the proposed receiver over traditional receivers in a number of LTE scenarios.

Original language	English
Title of host publication	22nd International Conference on Digital Signal Processing (DSP)
Pages	1-5
Number of pages	5
DOIs	https://doi.org/10.1109/ICDSP.2017.8096081
Publication status	Published - 23 Aug 2017

Access to Document

10.1109/ICDSP.2017.8096081

Cite this

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title = "Joint detection and channel estimation based on sparse representation for LTE systems",

abstract = "In this paper, we consider the detection problem in a communication receiver as a sparse representation and reconstruction problem. This approach allows joint channel estimation and detection as opposed to the traditional approach, first estimation of the channel using pilot symbols and then, based on channel estimates, detection of data symbols. The sparse representation approach is employed for detection of Long-Term Evolution (LTE) Physical Uplink Control Channel (PUCCH) signals in highly loaded multiuser scenarios with unknown user channels. Simulations show the superior performance of the proposed receiver over traditional receivers in a number of LTE scenarios.",

author = "Yuriy Zakharov and {de Lamare}, {Rodrigo C.} and D. Zheng and X. Tang and K. Wang",

year = "2017",

month = aug,

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doi = "10.1109/ICDSP.2017.8096081",

language = "English",

isbn = "978-1-5386-1895-0 ",

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AU - Zakharov, Yuriy

AU - de Lamare, Rodrigo C.

AU - Zheng, D.

AU - Tang, X.

AU - Wang, K.

PY - 2017/8/23

Y1 - 2017/8/23

N2 - In this paper, we consider the detection problem in a communication receiver as a sparse representation and reconstruction problem. This approach allows joint channel estimation and detection as opposed to the traditional approach, first estimation of the channel using pilot symbols and then, based on channel estimates, detection of data symbols. The sparse representation approach is employed for detection of Long-Term Evolution (LTE) Physical Uplink Control Channel (PUCCH) signals in highly loaded multiuser scenarios with unknown user channels. Simulations show the superior performance of the proposed receiver over traditional receivers in a number of LTE scenarios.

AB - In this paper, we consider the detection problem in a communication receiver as a sparse representation and reconstruction problem. This approach allows joint channel estimation and detection as opposed to the traditional approach, first estimation of the channel using pilot symbols and then, based on channel estimates, detection of data symbols. The sparse representation approach is employed for detection of Long-Term Evolution (LTE) Physical Uplink Control Channel (PUCCH) signals in highly loaded multiuser scenarios with unknown user channels. Simulations show the superior performance of the proposed receiver over traditional receivers in a number of LTE scenarios.

U2 - 10.1109/ICDSP.2017.8096081

DO - 10.1109/ICDSP.2017.8096081

M3 - Conference contribution

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BT - 22nd International Conference on Digital Signal Processing (DSP)

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