Channel Equalization Using Adaptive Zero Forcing Technique in Rayleigh Fading Channel

Sahoo, Jagyanseni; Mishra, Laxmi Prasad; Panda, Sarthak; Mohanty, Mihir Narayan

doi:10.1109/icit.2015.19

Cited by 9 publications

(2 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…When applying ZF, the purpose is to determine the equalizer impulse response c(n), in such a way that using the convolution operation with the weight function of the system h(n) can obtain the unit impulse (which takes the value 1 for index 0 and 0 otherwise between −∞ and +∞, as Figure 6 depicts), thus canceling the interference caused by the channel [ 43 ], according to

…”

Section: Design Of the Equalizersmentioning

confidence: 99%

Performance Analysis of Turbo Codes, LDPC Codes, and Polar Codes over an AWGN Channel in the Presence of Inter Symbol Interference

Cuc

Morgoș

Grava

2023

Sensors

View full text Add to dashboard Cite

This paper discusses the results of simulations relating to the performances of turbo codes, low density parity check (LDPC) codes, and polar codes over an additive white Gaussian noise (AWGN) channel in the presence of inter symbol interference, denoting the disturbances that altered the original signal. To eliminate the negative effects of inter symbol interference (ISI), an equalizer was used at the level of the receiver. Practically, two types of equalizers were used: zero forcing (ZF) and minimum mean square error (MMSE), considering the case of perfect channel estimation and the case of estimation using the least square algorithm. The performance measure used was the modification of the bit error rate compared to a given signal to noise ratio; in this sense, the MMSE equalizer offered a higher performance than the ZF equalizer. The aspect of channel equalization considered here is not novel, but there have been very few works that dealt with equalization in the context of the use of turbo codes, especially LDPC codes and polar codes for channel coding. In this respect, this research can be considered a contribution to the field of digital communications.

show abstract

…”

Section: Design Of the Equalizersmentioning

confidence: 99%

Performance Analysis of Turbo Codes, LDPC Codes, and Polar Codes over an AWGN Channel in the Presence of Inter Symbol Interference

Cuc

Morgoș

Grava

2023

Sensors

View full text Add to dashboard Cite

show abstract

“…On the other hand, the RLS algorithm is very fast but can also get unstable if the number of weights gets too large. In a recent work [13], the algorithm for the Rayleigh fading channels is modified and analysed.…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of Adaptive Equalizers Over Multipath Faded Channels: Error Vector Magnitudes

Annapurna H. S

2023

IJRITCC

View full text Add to dashboard Cite

Due to the increasing popularity of digital transmission systems, the need for channel equalizers has been acknowledged. These techniques are designed to counteract the effects of the inter-symbol interference (ISI) caused by the communication channels. An adaptive equalizer is used to operate on the output of a channel in order to provide an approximation of the transmission medium. An adaptive equalizer usually requires a training period to operate successfully. This method eliminates the effects of the wireless transmission channel and allows the subsequent symbol modulation. The paper presents an overview of the various adaptive equalizers, such as the least mean squares (LMS), decision feedback equalizers (DFE), and the Recursive least squares (RLS). It also explores their performance in terms of error vector magnitudes (EVM) over Rician and Rayleigh channels. The paper looks into the effects of adaptive equalizers on various digital modulation techniques for rectangular quadrature phase shift, amplitude modulation, such as the BPSK, QPSK, 4-QAM, 16-QAM, 64-QAM and 256-QAM. These modulations are analysed and measured in terms of symbol error rates and number of incorrect symbols.

show abstract

Federated Reinforcement Learning for Multi-Dual-STAR-RIS Assisted DFRC-Enabled Multi-BS in ISAC Systems

Wu,

Shen,

Feng

et al. 2024

ICC 2024 - IEEE International Conference on Communications

View full text Add to dashboard Cite

Channel Equalization Using Adaptive Zero Forcing Technique in Rayleigh Fading Channel

Cited by 9 publications

References 6 publications

Performance Analysis of Turbo Codes, LDPC Codes, and Polar Codes over an AWGN Channel in the Presence of Inter Symbol Interference

Performance Analysis of Turbo Codes, LDPC Codes, and Polar Codes over an AWGN Channel in the Presence of Inter Symbol Interference

Performance Analysis of Adaptive Equalizers Over Multipath Faded Channels: Error Vector Magnitudes

Federated Reinforcement Learning for Multi-Dual-STAR-RIS Assisted DFRC-Enabled Multi-BS in ISAC Systems

Contact Info

Product

Resources

About