An Efficient MAPSO Model for Interference Cancellation and Optimal Channel Estimation in MIMO-OFDM System

Venkateswarlu, Chittetti; Rao, Nandanavanam Venkateswara

doi:10.1007/s11277-022-09955-w

Cited by 1 publication

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References 28 publications

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“…This OFDM has various merits such as simple channel equalization, robustness to interference, immunity to selective fading, and spectrum efficiency [3,4,5]. The frequency selective channel is transformed into various autonomous frequency flat sub-channels without any small BER when the OFDM is processed with a huge cyclic prefix [6]. The OFDM is utilized in various applications of wireless communication such as broadband internet access, satellite TV, Mobile and different wireless networks [7].…”

Section: Introductionmentioning

confidence: 99%

An Effective Double Density Dual-Tree Complex Wavelet Transform Based Denoising for MIMO-OFDM

2023

IJIES

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Nowadays, modern mobile telecommunication systems use multiple input multiple output (MIMO) with orthogonal frequency division multiplexing (OFDM) because of its robustness and huge spectrum efficiency. The most significant issues in MIMO-OFDM are noises occurred during communication and precise channel estimation. In this paper, the double density dual-tree complex wavelet transform (DDDTCWT) based denoising is proposed for eliminating noises occurred over the MIMO-OFDM. The fast independent component analysis using negentropy (FICAN) is used for performing blind channel estimation according to the statistics obtained from the received signal. Therefore, an effective denoising and channel estimation accomplished in the MIMO-OFDM is used to reduce the errors during the transmission. The performance of DDDTCWT-FICAN is analyzed using mean square error (MSE), bit error rate (BER) and symbol error rate (SER). The existing research used to evaluate the efficiency of DDDTCWT-FICAN are pilot-based interpolation (PBI) technique, adaptive optimized fast blind channel estimation (AOFBCE) and discrete fourier transform (DFT) with denoise model based least square (LS) Wiener namely DFT-LS-WIENER. The BER of the DDDTCWT-FICAN for 10 dB of SNR is 0.0053, it is less when compared to the PBI.

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Section: Introductionmentioning

confidence: 99%

An Effective Double Density Dual-Tree Complex Wavelet Transform Based Denoising for MIMO-OFDM

2023

IJIES

View full text Add to dashboard Cite

show abstract

An Efficient MAPSO Model for Interference Cancellation and Optimal Channel Estimation in MIMO-OFDM System

Cited by 1 publication

References 28 publications

An Effective Double Density Dual-Tree Complex Wavelet Transform Based Denoising for MIMO-OFDM

An Effective Double Density Dual-Tree Complex Wavelet Transform Based Denoising for MIMO-OFDM

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