中文摘要：

在利用信号融合来进行频率估计时，由于相位不连续性会造成很大的误差，通过相位校正，可以得到很好的估计效果，然而其运算量也将随之增加，本文利用频谱细化的思想，提出一种新的多段等长同频信号融合算法。为验证算法的有效性，对算法进行仿真，仿真结果表明，该算法在提高算法精度的同时，大大降低了运算量，使其更适合于对实时性要求较高的应用。

英文摘要：

In the frequency estimation of multi-segment signals, the error caused by discontinuity among different segments cannot be ignored. By correcting the phase difference of each segment, the results can be enormously improved, but the computational complexity of the algorithm grows at the same time. To resolve this problem, a new fusion algorithm based on spectrum zooming is proposed. The new algorithm performs spectrum zooming analysis to reduce the computational complexity while the precision is guaranteed. Results show that the algo- rithm is suitable to those real-time applications.