A novel delay dictionary design for compressive sensing-based time varying channel estimation in OFDM systems

Abboud, Maryam K.; Sabbar, Bayan M.

doi:10.12928/telkomnika.v18i5.14223

Cited by 2 publications

(2 citation statements)

References 15 publications

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“…The (1) is known as P 0 -problem and it is nondeterministic polynomial time (NP)-hard problem [4]. Solving this problem is important, because in many engineering problems such as [5]- [8], the sparse answer is the desired solution. To find the sparse solution for this problem, two general approaches are used.…”

Section: Introductionmentioning

confidence: 99%

A new framework for utilizing side information in sparse representation

Rafsanjani

Maghrebi

2021

IJEECS

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An underdetermined system of linear equation has infinitely number of answers. To find a specific solution, regularization method is used. For this propose, we define a cost function based on desired features of the solution and that answer with the best matches to these function is selected as the desired solution. In case of sparse solution, zero-norm function is selected as the cost function. In many engineering cases, there is side information which are omitted because of the zero-norm function. Finding a way to conquer zero-norm function limitation, will help to improve estimation of the desired parameter. In this regard, we utilize maximum a posterior (MAP) estimation and modify the prior information such that both sparsity and side information are utilized. As a consequence, a framework to utilize side information into sparse representation algorithms is proposed. We also test our proposed framework in orthogonal frequency division multiplexing (OFDM) sparse channel estimation problem which indicates, by utilizing our proposed system, the performance of the system improves and fewer resources are required for estimating the channel.

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Section: Introductionmentioning

confidence: 99%

A new framework for utilizing side information in sparse representation

Rafsanjani

Maghrebi

2021

IJEECS

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“…Abboud and Sabbar [23], a BER performance comparision of LS and BP algorithms was introduced with a dictionary design based channel delay variation for CS estimation. The tests show that the designed dictionary-based CS is suitable to recover the channel information with low to moderate Doppler effects.…”

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confidence: 99%

Compressive sensing-based channel estimation for high mobile systems with delay Doppler effects

2022

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In this paper, channel overhead is reduced by exploiting channel sparsity for multiple input multiple output-orthogonal frequency division multiplexing (MIMO-OFDM) system. Where, compressive sensing (CS) based dictionary design algorithms has been adopted as a channel estimation technique in high mobile systems with minimal number of pilots, such as high-speed train (HST) systems. A novel framework design of the dictionary-based CS was proposed considering both delay and Doppler effects in order to correctly recover the channel response. The channel under consideration is a 2 by 2 space-time block code (STBC) MIMO channel. Simulation tests according to the international telecommunication union (ITU) channel model demonstrated the suitability of the proposed dictionary for estimating the channel impulse response (CIR) of a liner time varying (LTV) channel with a mobility approaches 675 Km/h related to a Doppler frequency of 1500 Hz and 2.4 GHz carrier frequency. Two CS recovery algorithms were applied; orthogonal matching pursuit (OMP) and basis pursuit (BP), where by about 7 dB gain in signal to noise ratio (SNR) was achieved with mobility of 675 Km/h using OMP as compared to BP at a bit error rate (BER) of 10 −3 with 128 OFDM subcarriers.

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A novel delay dictionary design for compressive sensing-based time varying channel estimation in OFDM systems

Cited by 2 publications

References 15 publications

A new framework for utilizing side information in sparse representation

A new framework for utilizing side information in sparse representation

Compressive sensing-based channel estimation for high mobile systems with delay Doppler effects

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