【摘要】 多段信号的信息融合能够有效提高信号的频率估计精度。为扩展现有方法的适用范围,提出一种基于相位积累的多段异频信号的频率估计算法。算法通过生成异频分析参数矩阵克服了分段信号频率不等问题,实现了同频化处理;通过设计相位差补偿因子克服了分段信号相位不连续问题,达到了相位连续信号的频谱分析效果;通过搜索相位累积频谱的最大值获得了信号频率估计值。为验证算法的正确性,给出了详细的数学推导。仿真实验结果表明本文所提算法的频率估计误差约为现有方法的1/3~2/3,算法普适性强,频率估计性能稳定。更多还原

【Abstract】 Information fusion among multi-section signal can improve the frequency estimation effectively.To extend applicable range of existing methods,a frequency estimation algorithm of multi-section different-frequency signal based on phase accumulation is proposed.Firstly,the different-frequency analysis parameter matrix is generated to overcome the problem of unequal frequency.Then,the phase-difference compensating factor is designed to solve the problem of discontinuous phases and obtain the spectra as well as phase-continuous signal.Finally,the frequency estimation is gained by searching the maximum of phase accumulation spectra.To prove the validity of proposed algorithm,mathematical derivation is given in detail.The simulation experiment results demonstrate that the error of the proposed algorithm is about between 1/3 and 2/3 of that of the existing method and the proposed algorithm has better universality and more stable frequency estimation performance.更多还原