Joint MCMA and DD blind equalization algorithm with variable-step size

Ashmawy, Doaa; Banovic, Kevin; Abdel-Raheem, Esam; Youssif, Mohamed; Mansour, Hala A.; Mohanna, Mahmoud

doi:10.1109/eit.2009.5189605

Cited by 17 publications

(10 citation statements)

References 12 publications

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“…7 and Fig. 9 is also observed for the modified CMA algorithm given in [24] and for the variable step-size Square Contour Algorithm (VSCA), variable step-size Square Contour Decision-Directed Algorithm (VSDA), Square Contour Algorithm (SCA) and Modified Square Contour Algorithm (MSCA) simulated in [25]. Fig.…”

Section: Simulationsupporting

confidence: 55%

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A Maximum Entropy inspired model for the convolutional noise PDF

Freiman

Pinchas

2015

Digital Signal Processing

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Section: Simulationsupporting

confidence: 55%

“…A complex solution must be avoided because according to (24) the value for λ 2 must be real. In addition, when considering the derived expression for the MSE (41) when |λ 2 | goes to infinity the MSE goes to zero.…”

Section: Appendix Bmentioning

confidence: 99%

A Maximum Entropy inspired model for the convolutional noise PDF

Freiman

Pinchas

2015

Digital Signal Processing

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“…The coefficients were updated with a standard LMS algorithm using the pilot-knowledge to calculate the error. In addition, we use an adaptive step size to ensure rapid convergence [38].…”

Section: Dynamic Equalizationmentioning

confidence: 99%

Overhead-optimization of pilot-based digital signal processing for flexible high spectral efficiency transmission

et al. 2019

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We present a low-complexity fully pilot-based digital signal processing (DSP) chain designed for high spectral efficiency optical transmission systems. We study the performance of the individual pilot algorithms in simulations before demonstrating transmission of a 51×24 Gbaud PM-64QAM superchannel over distances reaching 1000 km. We present an overhead optimization technique using the system achievable information rate to find the optimal balance between increased performance and throughput reduction from adding additional DSP pilots. Using the optimal overhead of 2.4%, we report 9.3 (8.3) bits/s/Hz spectral efficiency, or equivalently 11.9 (10.6) Tb/s superchannel throughput, after 480 (960) km of transmission over 80 km spans with EDFA-only amplification. Moreover, we show that the optimum overhead depends only weakly on transmission distance, concluding that back-to-back optimization is sufficient for all studied distances. Our results show that pilot-based DSP combined with overhead optimization can increase the robustness and performance of systems using advanced modulation formats while still maintaining state-of-the-art spectral efficiency and multi-Tb/s throughput.

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“…FSE generally performs better than TSE due to its improved time phase selectivity and global convergence under some mild conditions with zeros near the unit circle [8]. The slow convergence of CMA is well known and recently many authors have provided solutions for fast convergence in CMA [3]- [5].…”

Section: Introductionmentioning

confidence: 99%

Blind Fractionally Spaced Equalization and timing synchronization in wireless fading channels

Nasir

Durrani

Kennedy

2010

2010 2nd International Conference on Future Computer and Communication

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The development of low-complexity blind techniques for equalization and timing synchronization is of enormous importance in the design of wireless communication systems. In this paper, we propose a practical solution for blind equalization and timing recovery in fast-fading time and frequency selective wireless communication channels. We develop a general framework for Constant Modulus Algorithm (CMA) based joint Fractionally Spaced Equalization (FSE) and timing recovery. We use differential modulation to deal with any arbitrary carrier offset. We propose a data reuse strategy to achieve improved short burst wireless communication in CMA based equalization systems. Our results show that FSE outperforms T -Spaced Equalization (TSE) with approximately 2 times faster Mean Square Error (MSE) convergence and approximately 2 dB gain in Bit Error Rate (BER) performance in wireless fading channels. In addition, we demonstrate that the BER performance of the proposed FSE receiver meets the theoretical bounds with only a few dB loss in Stanford University Interim (SUI) channels, which are relevant to IEEE 802.16.3c standard for Wireless Metropolitan Area Networks.

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Joint MCMA and DD blind equalization algorithm with variable-step size

Cited by 17 publications

References 12 publications

A Maximum Entropy inspired model for the convolutional noise PDF

A Maximum Entropy inspired model for the convolutional noise PDF

Overhead-optimization of pilot-based digital signal processing for flexible high spectral efficiency transmission

Blind Fractionally Spaced Equalization and timing synchronization in wireless fading channels

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