Multi-modulus blind equalization algorithm based on high-order QAM genetic optimization

Ni, Youcong; Du, Xin; Xiao, Ruliang; Xie, Chengwang

doi:10.1109/icnc.2012.6234712

Cited by 2 publications

(1 citation statement)

References 7 publications

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“…The MMA, based on amplitude and phase information, replaces modulus values of in-phase and quadrature components with real and imaginary parts of the input signals, respectively. The principle is shown in Figure 1, and can effectively correct phase rotation; however, the MMA has some defects such as slow convergence rate and large MSE (Ni et al, 2012).…”

Section: Multi-modulus Algorithmmentioning

confidence: 99%

Multi-modulus algorithm based on global artificial fish swarm intelligent optimization of DNA encoding sequences

Wang

et al. 2015

Genet. Mol. Res.

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ABSTRACT. Aimed to address the defects of the large mean square error (MSE), and the slow convergence speed in equalizing the multimodulus signals of the constant modulus algorithm (CMA), a multimodulus algorithm (MMA) based on global artificial fish swarm (GAFS) intelligent optimization of DNA encoding sequences (GAFS-DNA-MMA) was proposed. To improve the convergence rate and reduce the MSE, this proposed algorithm adopted an encoding method based on DNA nucleotide chains to provide a possible solution to the problem. Furthermore, the GAFS algorithm, with its fast convergence and global search ability, was used to find the best sequence. The real and imaginary parts of the initial optimal weight vector of MMA were obtained through DNA coding of the best sequence. The simulation results show that the proposed algorithm has a faster convergence 17512 Y.C. Guo et al. ©FUNPEC-RP www.funpecrp.com.br Genetics and Molecular Research 14 (4): 17511-17518 (2015) speed and smaller MSE in comparison with the CMA, the MMA, and the AFS-DNA-MMA.

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Section: Multi-modulus Algorithmmentioning

confidence: 99%

Multi-modulus algorithm based on global artificial fish swarm intelligent optimization of DNA encoding sequences

Wang

et al. 2015

Genet. Mol. Res.

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Error Handling Method for Improving BDS Monitoring Accuracy of Bridge Deformation

Bao

Tao

2022

Advances in Civil Engineering

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The existing high-tech bridge deformation monitoring technologies mostly use the GPS system. To eliminate the dependence on this system, China has independently developed and built the Beidou satellite navigation system. In this study, an improved algorithm for differently modulated signals is proposed to increase the accuracy of satellite monitoring and minimise the intercode interference into the output signals of the Beidou bridge deformation monitoring system. It includes a modified recurrent least square constant modulus algorithm (RLS-CMA) developed using MATLAB software. The numbers of iterations for four modulated signals are determined through various blind equalisation and intersymbol interference (ISI) algorithms as well as by performing error vector magnitude comparison simulations without equalisation, with CMA equalisation, and with enhanced RLS-CMA equalisation. At high signal-to-noise ratios, the correction speed and anti-intercode interference capability of the improved RLS-CMA are greater than those of the CMA. Moreover, the lower the error vector amplitude, the higher is the accuracy of received constellations. The error vector amplitude achieved by the RLS-CMA equalisation algorithm is lower than those of the CMA equalisation and nonequalisation algorithms, while its accuracy is increased by 17%. Hence, the improved RLS-CMA can eliminate ISI, increase the accuracy of satellite monitoring, and satisfy the requirements of theoretical analysis, calculation accuracy, and engineering error.

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Multi-modulus blind equalization algorithm based on high-order QAM genetic optimization

Cited by 2 publications

References 7 publications

Multi-modulus algorithm based on global artificial fish swarm intelligent optimization of DNA encoding sequences

Multi-modulus algorithm based on global artificial fish swarm intelligent optimization of DNA encoding sequences

Error Handling Method for Improving BDS Monitoring Accuracy of Bridge Deformation

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