Pilot Symbol Aided Channel Estimation for Spatial Modulation-OFDM Systems and its Performance Analysis with Different Types of Interpolations

Acar, Yusuf; Doğan, Hakan; Panayırcı, Erdal

doi:10.1007/s11277-016-3687-9

Cited by 16 publications

(19 citation statements)

References 20 publications

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“…Linear interpolation has a low computational complexity and gives best performance in models where there are enough pilot subcarriers and where the subcarriers are close to each other [23]. Although linear interpolation significantly degrades BER performance if the channel is changing fast between neighbouring pilot subcarriers [8] (which is a non-linear behaviour), it is still most frequently used in OFDM systems because of its easy implementation and inherent simplicity.…”

Section: Linear Interpolationmentioning

confidence: 99%

“…Interpolation methods that are commonly used are linear interpolation, second order interpolation, and spline cubic interpolation [5]. Currently there is a great interest in channel estimation techniques and interpolation methods that are used in OFDM systems and thus have been studied by many researchers [6][7][8]. However, the performance of most of them is limited by either the number or the position of pilot subcarriers [5].…”

Section: Introductionmentioning

confidence: 99%

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Wireless channel estimation in OFDM systems based on collaborative filtering techniques

Švedek

Kurdija

Ilić

2019

Journal of Electrical Engineering

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In this paper, a new channel estimation algorithm in Orthogonal Frequency Division Multiplexing (OFDM) systems is proposed. The proposed algorithm is suitable for cases with low density of pilot sub-carriers, where standard interpolation methods (linear, second order and cubic spline interpolation) are inaccurate. The algorithm improves the interpolation methods by employing memory based collaborative filtering (CF) techniques which are less sensitive to the number and location of the pilot subcarriers. CF algorithms are usually used in the context of recommender systems (e-commerce) for predictions of the unknown user-item ratings based on known values of similar users. The advantage of CF is the ability to e ciently produce quality predictions with highly sparse data. Computer simulations are used to verify the proposed channel estimation algorithm and demonstrate that the proposed algorithm improves predictive accuracy metrics, such as Root Mean Squared Error (RMSE), compared to usual estimation methods.

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Section: Linear Interpolationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Wireless channel estimation in OFDM systems based on collaborative filtering techniques

Švedek

Kurdija

Ilić

2019

Journal of Electrical Engineering

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“…They prove that BER performance is better than normal MML (M-algorithm ML) but comparable complexity. Acar et al [18] concentrate their work on estimating channel state information and how they use interpolation in SM-OFDM. The results show low estimation complexity with least squares (LS) and low pass interpolation technique.…”

Section: Introductionmentioning

confidence: 99%

A simplified spatial Modulation MISO-OFDM scheme

Al-Doori

Al-Hemiary

2020

TELKOMNIKA

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Index modulation is one of the promising techniques for future communications systems due to many improvement over the classical orthogonal frequency division multiplexing systems such as single RF chain, increased throughput for the same modulation order, achieved tradeoff between the efficiencies of the power and the spectral, and elimination of inter-channel interference. Many forms of index modulation researches exist where symbols are conveyed in antennas, subcarriers, time slots, and the space-time matrix. Spatial modulation is one member of index modulation family where symbols are conveyed in activating transmit/receive antennas. In this paper, a modification to a standard multiple input single output scheme by integrating spatial modulation using simplified mathematical procedure is achieved. In the transmitter side, data and activation symbols are distributed simultaneously using mathematical module and floor functions. At the receiver, a simplified maximum likelihood detector is used to obtain transmitted pair of symbols. To verify this, MATLAB simulink is used to simulate a downlink system where spatial modulation is applied to a base station. Results for different transmit antenna number and modulation order are obtained in the form of bit error rate versus signal to noise ratio.

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“…Recently, channel estimation has been comprehensively studied in the literature for SM-based systems [8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Channel estimation for OFDM-IM systems

Acar¹,

Aldırmaz-Çolak²,

Başar³

2019

Turk J Elec Eng & Comp Sci

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Orthogonal frequency division multiplexing with index modulation (OFDM-IM) has been recently proposed to increase the spectral efficiency and improve the error performance of multicarrier communication systems. However, all the OFDM-IM systems assume that the perfect channel state information is available at the receiver. Nevertheless, channel estimation is a challenging problem in practical wireless communication systems for coherent detection at the receiver. In this paper, a novel method based on the pilot symbol-aided channel estimation technique is proposed and evaluated for OFDM-IM systems. Pilot symbols, which are placed equidistantly, allow the regeneration of the response of the channel so that pilot symbol spacing can fulfill the sampling theorem criterion. Our results shows that the low-pass interpolation and SPLINE techniques perform the best among all the channel estimation algorithms in terms of bit error rate and mean square error performance.

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Pilot Symbol Aided Channel Estimation for Spatial Modulation-OFDM Systems and its Performance Analysis with Different Types of Interpolations

Cited by 16 publications

References 20 publications

Wireless channel estimation in OFDM systems based on collaborative filtering techniques

Wireless channel estimation in OFDM systems based on collaborative filtering techniques

A simplified spatial Modulation MISO-OFDM scheme

Channel estimation for OFDM-IM systems

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