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一种低复杂度的频率、时延联合估计新方法
A Low-Complexity Algorithm for Joint Estimation of Frequency and Time Delay of Multiple Sinusoids
【摘要】 提出了一种基于子空间的正弦信号的频率、时延联合估计快速算法。首先给出一个PM(propagatormethod)算子 ,再由其分块矩阵构造一特殊的矩阵。由该矩阵的特征分解所得的特征矢量给出频率估计 ,而由其特征值及估计的频率得到时延估计。与现有的方法相比 ,由于该算法减少了一次特征分解 ,因而具有较低的计算复杂度。最后 ,用正弦信号及实测语音数据验证了该方法的性能
【Abstract】 The problem of jointly estimating the frequencies and time delay of multiple sinusoids received at two separated sensors is considered.The frequencies are firstly estimated by the eigen decomposition of a constructed matrix.The time delay is then found using the associated eigen value as well as the estimated frequencies.It is shown that a substantial computation saving is realized compared with those associated with the eigen decomposition based methods.Finally,the performance of the proposed algorithm is demonstrated via computer simulations using sinusoidals as well as real speech data.
- 【文献出处】 系统工程与电子技术 ,Systems Engineering and Electronics , 编辑部邮箱 ,2003年07期
- 【分类号】TN911
- 【被引频次】4
- 【下载频次】152