Poly-phase based blind deconvolution technique using second-order statistics
Poly-phase based blind deconvolution technique using second-order statistics
复制标题
使用二阶统计的基于多相的盲反卷积技术
DOI：
10.1109/icassp.1998.681821
复制
发表时间：
1998
期刊：
影响因子：
--
通讯作者：
M. Oshiro
中科院分区：
文献类型：
--
作者：
H. Ochi;M. Oshiro
提出了一种新的基于二阶统计量的盲解卷和盲均衡器技术。该技术利用从传输信道的两分量多相分解得到的双通道完美重建滤波器组，以便使精确的系统识别成为可能。该盲解卷积算法结构简单，解的唯一性明显优于传统算法。为了验证该方法的有效性，给出了包括256QAM信号均衡器和模糊图像恢复的计算机仿真结果。
A novel second-order statistics-based blind deconvolution and equalizer technique is proposed. This technique makes use of a two-channel perfect reconstruction filter bank derived from a two-component polyphase decomposition of the transmission channel in order to make exact system identifications possible. The proposed blind deconvolution algorithm is superior to conventional algorithms in view of the simple structure and the uniqueness of the solution. In order to verify the effectiveness of this method, several computer simulations including a 256 QAM signal equalizer and a blurred image recovery have been shown.