Channel estimation using an adaptive neuro fuzzy inference system in the OFDM-IDMA system

Taşpınar, Necmi; Şimşir, Şakir

doi:10.3906/elk-1503-156

Cited by 7 publications

(6 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The ability to tackle the nonlinear classification issue by combining numerous superposition perceptions is one of the communication-related uses for neural networks. [26][27][28][29][30][31][32] Seyman et al 26 propounded a pilot training-based CE technique using the adaptive neuro-fuzzy inference system (ANFIS) algorithm. Further, the same CE technique had been introduced for multiple-input multiple-output (MIMO) OFDM systems.…”

Section: Literature Surveymentioning

confidence: 99%

A new optimized least‐square sparse channel estimation scheme for underwater acoustic communication

Kumar

2023

Int J Communication

View full text Add to dashboard Cite

Summary In underwater acoustic (UWA) communication, orthogonal frequency division multiplexing (OFDM) is a promising technology that is highly essential to get channel state information meant for channel estimation (CE). Nevertheless, higher complexity, slower convergence, and poor performance, which degrade the performance estimation, are the limitations of the traditional CE methodologies. Thus, by amalgamating the least square (LS)‐CE algorithm along with polynomial interpolated black widow optimization (PI‐BWO) model, an optimized least square sparse (OLSS) CE algorithm has been proposed to intend for a UWA‐OFDM communication system. Formerly, by utilizing the 2's complement shift left turbo encoding (2CSL‐TE) methodology, the input signal is encoded. After that, the modulated encoded signal is provided for inverse fast Fourier transform (IFFT) operations; subsequently, they are transferred over the UWA channel toward the receiver OFDM. By employing the OLSS methodology, the received OFDM signal's interference‐free region is utilized for sparse CE at the receiver. Regarding symbol error rate (SER), bit error rate (BER), mean square error (MSE), and peak signal‐to‐noise ratio (PSNR), the proposed model's experiential outcome is evaluated and analogized with the other prevailing methodologies. When analogized with the conventional models, the proposed estimation methodologies achieved better performance.

show abstract

Section: Literature Surveymentioning

confidence: 99%

A new optimized least‐square sparse channel estimation scheme for underwater acoustic communication

Kumar

2023

Int J Communication

View full text Add to dashboard Cite

show abstract

“…After that, the modulation of interleaved bit sequences, insertion of pilot tones and inverse fast Fourier transform (IFFT) operations are carried out in order, and finally, the resultant signal is given to the channel. At the receiver side, fast Fourier transform (FFT) process is executed to transform the received signal to the frequency domain and then, the resulting N×1 signal denoted by Y(n) is attained (Taşpınar and Şimşir, 2017;Şimşir and Taşpınar, 2015):…”

Section: System Descriptionmentioning

confidence: 99%

OFDM-IDMA Sistemi İçin Genetik Algoritmaya Dayalı Biyo-İlhamlı Pilot Dizayn Yaklaşımı

Taşpınar¹,

Şimşir²

2020

European Journal of Science and Technology

Self Cite

View full text Add to dashboard Cite

It is well known that the efficiency of a channel estimator employing the strategy of comb-type pilot placement can be controlled by adjusting the positions of pilot tones. In this paper, by considering this situation, in order to maximize the estimation precision of the least squares (LS) algorithm utilized as a channel estimator in orthogonal frequency division multiplexinginterleave division multiple access (OFDM-IDMA) scheme, the genetic algorithm (GA) possessing a wide range of uses due to its powerful problem solving capability was utilized in the optimization of pilot positions. Besides, the computational load of mean square error (MSE) which is used as the objective function of GA was avoided by employing its upper bound during the optimization process. The upper bound of MSE was achieved by utilizing the Gershgorin disc theorem. In the simulations, the suggested pilot arrangement strategy based on the GA was compared to the conventional techniques like equispaced and random pilot placements in point of two criteria known as bit error rate (BER) and MSE. Simulation results put forth that GA-based pilot design strategy establishes a very clear superiority over the other considered methods by providing significant MSE and BER performances.

show abstract

“…Following the execution of an interleaving process through the interleavers by which the user separation is achieved, the modulation, pilot insertion, inverse fast Fourier transform (FFT), and addition of cyclic prefix operations are performed, respectively. At the receiver side, after the operations of removing the cyclic prefix and FFT, the following N × 1 signal vector Y(n) is obtained [16,17]:…”

Section: System Descriptionmentioning

confidence: 99%

An efficient technique based on firefly algorithm for pilot design process in OFDM-IDMA systems

Taşpınar¹,

Şimşir²

2018

Turk J Elec Eng & Comp Sci

View full text Add to dashboard Cite

Accurate placement of pilot tones has been a crucial task in multicarrier transmission technologies since there is a strong relation between pilot positions and channel estimation performance. Therefore, the firefly algorithm (FA) is proposed for achieving the optimal pilot distribution by optimizing the pilot positions in order to minimize the estimation errors of the least squares algorithm employed in orthogonal frequency division multiplexing-interleave division multiple access (OFDM-IDMA) systems. According to the simulation results, our proposed FA-based pilot optimizer provides a great performance increase in OFDM-IDMA systems by obtaining the most appropriate pilot distribution pattern among the considered pilot placement strategies. The upper bound of mean square error (MSE) is used as the fitness function in the optimization process for avoiding the matrix inversion operation that is needed when calculating MSE itself.

show abstract

Channel estimation using an adaptive neuro fuzzy inference system in the OFDM-IDMA system

Cited by 7 publications

References 23 publications

A new optimized least‐square sparse channel estimation scheme for underwater acoustic communication

A new optimized least‐square sparse channel estimation scheme for underwater acoustic communication

OFDM-IDMA Sistemi İçin Genetik Algoritmaya Dayalı Biyo-İlhamlı Pilot Dizayn Yaklaşımı

An efficient technique based on firefly algorithm for pilot design process in OFDM-IDMA systems

Contact Info

Product

Resources

About