Nonlinear Blind Equalizers: NCMA and NMCMA
Donglin Wang, Sandeep Chandana
DOI: 10.4236/ijcns.2010.36070   PDF    HTML     4,765 Downloads   8,461 Views   Citations


This paper proposes two nonlinear blind equalizers: the nonlinear constant modulus algorithm (NCMA) and the nonlinear modified constant modulus algorithm (NCMA) by applying a nonlinear transfer function (NTF) into constant modulus algorithm (CMA) and modified constant modulus algorithm (MCMA), respectively. The effect of the NTF on CMA and MCMA is theoretically analyzed, which implies that the NTF can make their decision regions much sharper so that the proposed two nonlinear blind equalizers are more robust against the convergency error compared to their linear counterparts. The embedded single layer in NCMA and NMCMA simultaneously guarantees a comparably speedy convergency. On 16-quadrature amplitude modulation (QAM) symbols, computer simulations show that NCMA achieves an 8dB lower convergency mean square error (MSE) than CMA, and NMCMA achieves a 15dB lower convergency MSE than MCMA.

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D. Wang and S. Chandana, "Nonlinear Blind Equalizers: NCMA and NMCMA," International Journal of Communications, Network and System Sciences, Vol. 3 No. 6, 2010, pp. 523-529. doi: 10.4236/ijcns.2010.36070.

Conflicts of Interest

The authors declare no conflicts of interest.


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