New Algorithms for Blind Equalization: The Constant Norm Algorithm Family

Goupil, Alban; Palicot, Jacques

doi:10.1109/tsp.2006.889398

Cited by 40 publications

(21 citation statements)

References 13 publications

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“…The Constant Norm Algorithm(CNA) [5] makes use of the properties of Bussgang and is close to the Bussgang Algorithms. Exactly some blind equalization algorithms are the special cases of CNA such as Sato, CMA.…”

Section: A the Constant Norm Algorithmmentioning

confidence: 99%

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The Constant Norm Algorithm Based on the Soft Decision Feedback Equalizer

Zhu

Jiao

2011

2011 7th International Conference on Wireless Communications, Networking and Mobile Computing

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The Decision Feedback Equalizer is a common equalizer in the blind equalization. It's a nonlinear equalizer which is always used with the Constant Modulus Algorithm. The Constant Norm Algorithm can be used in it to enhance the equalization performance. The introduce of soft decision will improve it future more. The computer simulation results would verify its significance. Keywords-constant norm algorithm; decision feedback equalizer; blind equalizationI.

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Section: A the Constant Norm Algorithmmentioning

confidence: 99%

“…Exactly some blind equalization algorithms are the special cases of CNA such as Sato, CMA. The CNA [5] can be used not only in the equalization but also in the estimation of the signals. It's very fit for the digital communication system and has fine foreground.…”

Section: A the Constant Norm Algorithmmentioning

confidence: 99%

The Constant Norm Algorithm Based on the Soft Decision Feedback Equalizer

Zhu

Jiao

2011

2011 7th International Conference on Wireless Communications, Networking and Mobile Computing

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“…As previously discussed, the blind equalization methods including constant modulus algorithm [3], [21], soft decisiondirected method [22] and kurtosis optimization method [23] all depend on the stochastic gradient search which is quite sensitive to local minima, slow convergence and step size. In our recent paper of [18], we have shown that by applying the EM algorithm, IWLMS blind equalizer can be derived for both BPSK and QPSK modulated signals.…”

Section: Iwlms Blind Equalizermentioning

confidence: 99%

Novel Robust Blind Equalizer for QAM Signals Using Iterative Weighted-Least-Mean-Square Algorithm

Yan

Xu³

et al. 2010

2010 IEEE Global Telecommunications Conference GLOBECOM 2010

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Abstract-In this paper, we propose a novel blind equalizer which can deal with high-order modulated QAM (quadrature amplitude modulation) signals. This new scheme is based on the signal selection (SS) and the iterative weighted-least-mean-square (IWLMS) algorithm. The incurred additional complexity by the SS scheme is linear with respect to the sample size of the received signal and the IWLMS method is also very efficient. We employ numerous Monte Carlo experiments to compare our proposed blind equalization method with the popular constant modulus algorithm (CMA). The simulation results demonstrate that our proposed scheme is more robust than CMA especially when the QAM modulation order is large.

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“…The idea behind CMA applied in OFDM/OQAM is to iteratively update the algorithm by comparing the real part of the output of the equalizer with a given real constant that depends on the constellation size. However, it is worth noting that CMA is equivalent to Sato's algorithm [13], the multimodulus algorithm (MMA) [14], and the constant norm algorithm (CNA) [15], due to the use of real transmitted OQAM symbols. Therefore, this limits the choice of the cost function to those that are adapted to real constellation, whereas numerous cost functions adapted to different complex constellations have been proposed in the scientific literature [15]- [17].…”

Section: Introductionmentioning

confidence: 99%