Study on blind equalizer based on different place wavelet transform
基于不同位置小波变换的盲均衡器研究*

Currently the adaptive equalizer based on wavelet transform are all placed the orthogonal wavelet transform in the front of the equalizer(forward filter) to speed up convergence. Taking the constant modulus algorithm decision feedback equalizer(CMA-DFE) for example and according to the balance orthogonal wavelet transform place differ , studied the three equa-lizers respectively, that was the forward orthogonal multi-wavelet transform based CMA-DFE(MWT-CMA-DFE), the feedback orthogonal multi-wavelet transform CMA-DFE(FMWT-CMA-DFE) and the dual orthogonal multi-wavelet transform CMA-DFE(DMWT-CMA-DFE), analyzed the complexities of these equalizers respectively. Simulation tests with underwater acoustic channel have indicated that the DMWT-CAM-DFE not only has the faster the performances of convergence and tracking the time vary channel but also can eliminate phase rotation compared with those of MWT-CMA-DFE and FMWT-CMA-DFE.