Effect of Side Information on the Number of Measurements and Dynamic Sparse Channel Tracking using Compressed Sensing

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KHALEDIAN H.; KAHAEI M.H.

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Paper Information

Journal: TABRIZ JOURNAL OF ELECTRICAL ENGINEERING Year:2019 | Volume:49 | Issue:1 (87) Page(s): 135-142

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Title

Effect of Side Information on the Number of Measurements and Dynamic Sparse Channel Tracking using Compressed Sensing

Author(s)

KHALEDIAN H. | KAHAEI M.H. | Issue Writer Certificate

Keywords

Dynamic sparse channel estimationQ1

sparse recovery with side informationQ1

measurementsQ1

mixed normsQ1

OFDM systemsQ1

Abstract

In this paper, the problem of Dynamic sparse channel estimation in orthogonal frequency-division multiplexing (OFDM) systems is studied using norm-based methods. In this method, a mixture of norms is performed based on sparse recovery using side information for simultaneous extraction of both sparseness and dynamic features. For this purpose, temporal correlation of dynamic channels is considered as the side information whose effect on the number of measurements and dynamic channel tracking is investigated. Simulation results show an increase on both estimation accuracy and tracking of dynamic sparse channels for some decibels and also reduction of the number of measurements compared to some conventional reconstruction algorithms.

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APA: Copy

KHALEDIAN, H., & KAHAEI, M.H.. (2019). Effect of Side Information on the Number of Measurements and Dynamic Sparse Channel Tracking using Compressed Sensing. TABRIZ JOURNAL OF ELECTRICAL ENGINEERING, 49(1 (87) ), 135-142. SID. https://sid.ir/paper/256566/en

Vancouver: Copy

KHALEDIAN H., KAHAEI M.H.. Effect of Side Information on the Number of Measurements and Dynamic Sparse Channel Tracking using Compressed Sensing. TABRIZ JOURNAL OF ELECTRICAL ENGINEERING[Internet]. 2019;49(1 (87) ):135-142. Available from: https://sid.ir/paper/256566/en

IEEE: Copy

H. KHALEDIAN, and M.H. KAHAEI, “Effect of Side Information on the Number of Measurements and Dynamic Sparse Channel Tracking using Compressed Sensing,” TABRIZ JOURNAL OF ELECTRICAL ENGINEERING, vol. 49, no. 1 (87) , pp. 135–142, 2019, [Online]. Available: https://sid.ir/paper/256566/en

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