NDLI: Incorporation of prior knowledge into sparse time dispersive OFDM channel estimation via weighted atomic norm minimisation

Content Provider	IET Digital Library
Author	Hezaveh, Hoomaan Valiulahi, Iman Kahaei, Mohammad Hossein
Abstract	A new estimator for sparse time dispersive channels in pilot aided orthogonal frequency division multiplexing (OFDM) systems is developed by considering prior knowledge on channel time dispersions. The authors propose a weighted atomic norm minimisation (WANM) in order to incorporate the prior information into the estimator. The dual of the WANM is then converted to a tractable semidefinite programming using positive trigonometric polynomial theory. After solving the dual problem, the channel response is identified by solving a least squares approach. In this work, they assume that time dispersions associated delays can take any value with a mild minimum separation condition on the normalised interval [ 0 , 1 ) . The performance of the new estimator is compared with conventional approaches. With respect to the pilot number and signal to noise ratio (SNR), simulation results reveal that the proposed estimator performs superior to that of traditional methods. It is shown that both a lower SNR and number of pilots are required to achieve the same mean square error reported in previous works.
Starting Page	1704
Ending Page	1708
Page Count	5
ISSN	17518628
Volume Number	14
e-ISSN	17518636
Issue Number	Issue 11, Jul (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/14/11
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2019.0430
Journal	IET Communications
Publisher Date	2020-02-20
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Channel Estimation Channel Response Channel Time Dispersions Communication Channel Equalisation And Identification Dispersive Channel Dual Problem Estimator Performs Interpolation And Function Approximation Least Squares Approximation Mean Square Error Method Mild Minimum Separation Condition Minimisation Modulation And Coding Method Numerical Analysis OFDM Channel Estimation OFDM Modulation Optimisation Technique Pilot Aided Orthogonal Frequency Division Pilot Number Polynomial Positive Trigonometric Polynomial Theory Radio Link And Equipment Sparse Time Dispersive Channel Statistics Tractable Semidefinite Programming WANM Weighted Atomic Norm Minimisation
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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