基于MUSIC的高分辨率到达频率差估计方法

摘要

MUSCI (Multiple Signal Classification)algorithm can obtain high accuracy of FDOA (Frequency-Delay Of Arrival)in multi-signal with same frequency. This algorithm can be applied to estimate FDOA as its high resolution,and get the method of FDOA estimation based on MUSIC. This method can accurately estimate FDOA in different SNR (Signal-to-Noise Ratio),bandwidth,sampling frequency and integration time. The result of simulation proves its feasibility,efficiency and robustness.%多重信号分类（MUSIC）算法具有高分辨率、高精度和同频多信号的频率估计能力，利用这一性能可将其应用于到达频率差估计，得到基于MUSIC的到达频率差估计方法。这种方法在不同信噪比、带宽、采样率和积分时间等条件下，均能对到达频率差进行高精确估计，仿真结果验证了该算法的可行性、有效性和稳健性。