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机构地区:[1]西南科技大学信息工程学院,四川绵阳621010
出 处:《通信技术》2011年第12期30-32,35,共4页Communications Technology
基 金:国家自然科学基金资助项目(批准号:10876035)
摘 要:在非协作式通信系统中,符号率估计是参数估计的重要环节,它对调制方式的识别及信号的正确解调有着重要意义。基于haar小波变换分析现有符号率估计算法,针对多进制数字相位调制(MPSK)信号的多速率估计,提出一种多同步参考点的符号率估计算法。该算法通过分析小波的降噪特性,先对接收信号进行小波分解降噪处理,有效地抑制噪声,再选取和修正多同步参考点,使得符号率估计有更高的精度和抗噪性能。仿真验证了提出的算法在CNR<0时符号率估计的准确率和精度都比传统算法高。In the non-cooperative communication systems, symbol rate estimation is an important part of parameter estimation, and it of great significance to recognization of modulation mode and correct demodulation of signals. The existing symbol rate estimation algorithm based on haar wavelet transform is analyzed, and for the multi-rate estimation of MPSK signals, a symbol rate estimation algorithm with multi-sync reference point is proposed. By analyzing the noise-reduction-features of the wavelet, decomposing the wavelet and reducing the noise of the received signals, this algorithm could suppress noise effectively. Then by selecting and correcting multi-sync reference point, the symbol rate estimation could thus be of higher accuracy and noise-immunity. Simulation on this algorithm indicates that the proposed algorithm, in accuracy and precision of symbol rate estimation, is higher than traditional algorithm when CNR〈0.
分 类 号:TN911.7[电子电信—通信与信息系统]
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