Joint CFO and channel estimation using pilot aided interpolation for high performance MIMO-OFDM

Chitra, S.; Ramesh, S.; Vijay, Ramya; Jegan, G.; Lawrence, T. Samraj

doi:10.1080/00207217.2022.2087918

Cited by 9 publications

(5 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Because the performance of the Turbo code depends on the input frame size when the puncturing mechanism of the Turbo code is controlled [13], the BER performance of the system will increase and achieve the ideal receiver when using the high key length of the AES generator. Comparing Figures 5 and 6, it is FIGURE 6 The BER performance of the MIMO-OFDM 2 × 2 system with QPSK FIGURE 7 The BER performance of the MIMO-OFDM 2 × 4 system with BPSK clear that the BPSK modulation scheme provides a better BER performance than the QPSK modulation scheme.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…Compared with the blind‐based CFO estimation algorithm, the pilot‐based CFO estimation provides a lower computational complexity for the OFDM system [5]. In [6], the authors combined the channel and CFO estimation in a MIMO‐OFDM system by employing pilots. However, this method requires accurate channel state information that is unavailable in real systems.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A turbo‐based encryption and coding scheme for multiple‐input multiple‐output orthogonal frequency division multiplexing wireless communication systems affected by Doppler frequency offset

Linh

Yem

2023

IET Communications

View full text Add to dashboard Cite

Multiple‐Input Multiple‐Output Orthogonal Frequency Division Multiplexing (MIMO‐OFDM) is an essential technology in the wireless communication system. However, its performance is significantly affected by Carrier Frequency Offset (CFO), which leads to inter‐carrier interference (ICI). The CFO estimation and compensation techniques are used to mitigate the Doppler effect. In addition, the confidentiality of data is a key factor of the system. This paper proposes a Turbo‐based encryption and coding scheme to improve reliability and security for the MIMO‐OFDM wireless communication systems affected by the Doppler frequency offset. In our proposed scheme, the secret key is produced from channel parameters between legitimate users and it is used as a seed for generating a pseudo‐random bit sequence using an Advanced Encryption Standard (AES) generator with variable key lengths. The Turbo code's puncturing mechanism is controlled by this pseudo‐random bit sequence. The proposed method is applied to the system with different modulation schemes through the Rayleigh channel. The simulation results show that the system affected by the Doppler effect would obtain the best performance when using the highest key length of the AES generator, the BPSK, and a great number of receive antennas. Furthermore, the proposed solution outperforms several previous approaches for the MIMO‐OFDM systems.

show abstract

Section: Simulation Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A turbo‐based encryption and coding scheme for multiple‐input multiple‐output orthogonal frequency division multiplexing wireless communication systems affected by Doppler frequency offset

Linh

Yem

2023

IET Communications

View full text Add to dashboard Cite

show abstract

“…The comparison is done by means of BER, MSE and SER. Tables 2, 3 and 4 shows the comparative analysis of DDDTCWT-FICAN with PBI [18], AOFBCE [19] and DFT-LS-WIENER [21]. From Tables 2, 3 and 4, it is known that the DDDTCWT-FICAN achieves better results because of its effective denoising and effective channel estimation.…”

Section: Comparative Analysismentioning

confidence: 98%

“…Chitra, [18] developed the pilot-based interpolation (PBI) approach for joint carrier frequency offset (CFO) and estimation of the channel in MIMO-OFDM. An evaluation of the CFO was accomplished by broadcasting the pilot symbols over each block of MIMO-OFDM and its impact was compensated on the receiver side.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

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

2023

IJIES

View full text Add to dashboard Cite

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.

show abstract

Sub‐Nyquist wideband spectrum sensing for multicarrier wireless applications

Rao,

Aswini,

Sharma

et al. 2024

Micro & Optical Tech Letters

View full text Add to dashboard Cite

The incredible growth of wireless technologies has led to an increase in demand of spectral resources for various communication systems. The allocated spectrum for GSM is insufficient to support applications that operate at high data rates (e.g., multimedia applications or 5G mobile communications). Orthogonal frequency division multiplexing (OFDM) and generalized frequency division multiplexing (GFDM) are the recent technologies with high data rates for multimedia applications and mobile communications. These are the perfect candidates for wireless applications and 5G technologies. In this paper, an in‐depth study was presented where the multicarrier models of orthogonal frequency‐division multiplexing (OFDM) and GFDM are integrated with a sub‐Nyquist sampling architecture. The primary focus is to evaluate and compare their spectrum sensing performance. Also analyzed the performance of both OFDM and GFDM under sub‐Nyquist sampling framework and measured the bit error rate (BER) as a function of the received signal‐to‐noise ratio (SNR).

show abstract

Joint CFO and channel estimation using pilot aided interpolation for high performance MIMO-OFDM

Cited by 9 publications

References 27 publications

A turbo‐based encryption and coding scheme for multiple‐input multiple‐output orthogonal frequency division multiplexing wireless communication systems affected by Doppler frequency offset

A turbo‐based encryption and coding scheme for multiple‐input multiple‐output orthogonal frequency division multiplexing wireless communication systems affected by Doppler frequency offset

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

Sub‐Nyquist wideband spectrum sensing for multicarrier wireless applications

Contact Info

Product

Resources

About