Computationally efficient methods for blind decision feedback equalization of QAM signals

Banovic, Kevin; Abdel-Raheem, Esam; Khalid, Mohammed

doi:10.1016/j.aeue.2007.05.008

Cited by 6 publications

(2 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To compensate phase error in the CMA, Oh elaborated a modified CMA, called the multimodulus algorithm (MMA) [12]. Except for the steady-state MSE, the performance analysis of MMA such as stationary points, desired global minima, unstable equilibria (saddle points) and so on were proposed in [13][14][15]. So this paper mathematically analyzes the steady-state MSE of MMA for QAM signal constellations.…”

Section: Introductionmentioning

confidence: 99%

Steady-state MSE analysis of the multimodulus blind equalization algorithm in QAM communication systems

Rao

2011

SPIE Proceedings

View full text Add to dashboard Cite

The constant modulus algorithm (CMA) for blind equalization requires a separate carrier-recovery system for phase recovery. A modified CMA, called the multimodulus algorithm (MMA), which may perform joint blind equalization and carrier recovery without the need for a separate carrier-recovery system for quadrature amplitude modulation (QAM) signal constellations. This letter mathematically analyzes the steady-state mean square error (MSE) of MMA. Analysis results indicate that MMA produces 50% fewer steady-state MSE than CMA.

show abstract

Section: Introductionmentioning

confidence: 99%

Steady-state MSE analysis of the multimodulus blind equalization algorithm in QAM communication systems

Rao

2011

SPIE Proceedings

View full text Add to dashboard Cite

show abstract

“…The Efficient and fully blind Decision Feedback Equalizer (DFE) remains an open issue, mainly because of the potential errors in the decision loop part. Based on the Weighted Decision Feedback Equalizer (WDFE) and other factors, our previous work aiming at decreasing the error propagation phenomena, some new blind DFE which in order to commute also both the algorithms and the filtering structure (Kim, Lee and Kim, 2002;Banovic, Abdel-raheem and Khalid, 2008;Martinez, Menchaca and Berron, 2011).…”

Section: Introductionmentioning

confidence: 99%

Optimized Decision Feedback Equalizer Algorithm based on Sparse Underwater Acoustic Channel

2016

Technical Journal of the Faculty of Engineering

View full text Add to dashboard Cite

A new optimized blind equalization algorithm for sparse underwater acoustic channel is proposed in this paper. The decision feedback equalizer is a common nonlinear equalizer to overcome the effect of noise in underwater acoustic communication. The decision feedback equalizer algorithm tracks the underwater acoustic channel change and utilizes the feedback information to adjust equalizer. The great calculation amount and complex structure lead the reduction of the algorithm performance. The proposed algorithmreduces the calculation amount with the help of simulated annealing algorithm based on sparse underwater acoustic channel and reaches the effectiveness. Based on the equalization model, various experimental performance analysis has proved that the convergence rate of the proposed algorithm was higher than common decision feedback equalizer algorithm.

show abstract

A robust adaptive weighted constant modulus algorithm for blind equalization of wireless communications systems under impulsive noise environment

Feng

2018

AEU - International Journal of Electronics and Communications

View full text Add to dashboard Cite

Computationally efficient methods for blind decision feedback equalization of QAM signals

Cited by 6 publications

References 21 publications

Steady-state MSE analysis of the multimodulus blind equalization algorithm in QAM communication systems

Steady-state MSE analysis of the multimodulus blind equalization algorithm in QAM communication systems

Optimized Decision Feedback Equalizer Algorithm based on Sparse Underwater Acoustic Channel

A robust adaptive weighted constant modulus algorithm for blind equalization of wireless communications systems under impulsive noise environment

Contact Info

Product

Resources

About