Application of quantification to orthogonal wavelet based CMA blind equalization
Guo Li · Applied science and technology · 2003
Adaptive blind equalization has gained widely spread use in communication receivers operating without training signals. In particular, the Constant Modulus Algorithm (CMA) has become a favorite of practitioners. The orthogonal wavelet based CMA blind equalization converges faster than the traditional LMS algorithms, but its cost is the increase in computational complexity. This paper applies quantification to WBCMA by using the integral power of 2 to quantify the error term. The bit of error term is decreased. Thereby, there is much reduction in computational complexity. Computer simulation proves the validity of this algorithm.