使用滑动DFT的快速准确频率估计
Fast and Accurate Frequency Estimation Using Sliding DFT
AI总结：
提出一种基于稳定滑动DFT的计算高效且准确的频率估计方法，通过额外校正项提升性能，优于Jacobsen和Candan估计器。
摘要：
复指数信号的频率估计是许多领域相关的问题。本文利用保证稳定的滑动DFT提出了一种计算高效且准确的频率估计器，该滑动DFT既提供了稳定性又具有计算效率。该估计器对于大N趋近于Jacobsen估计器和Candan估计器，并乘以一个额外的校正项以稳定滑动DFT。仿真结果表明，所提估计器的性能优于Jacobsen估计器和Candan估计器。
英文摘要：
Frequency Estimation of a complex exponential is a problem relevant to a large number of fields. In this paper a computationally efficient and accurate frequency estimator is presented using the guaranteed stable Sliding DFT which gives stability as well as computational efficiency. The estimator approaches Jacobsen's estimator and Candan's estimator for large N with an extra correction term multiplied to it for the stabilization of the sliding DFT. Simulation results show that the performance of the proposed estimator were found to be better than Jacobsen's estimator and Candan's estimator.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
