一种改进的跳频信号频率估计算法

信号的信噪比较低时，旋转不变信号参数估计技术（Estimated Signal Parametersvia Rotational Invariance Technique，ESPRIT）算法的频率估计性能明显下降，针对这一问题，提出了一种基于ESPRIT的改进算法。该改进算法在基于ESPRIT的噪声抑制（Noise Suppressed based on ESPRIT，NS—ESPRIT）算法的基础上，利用DFT谱中的，个局部最大值点，缩小基于互相关矩阵迹模值曲线的ESPRIT算法中口的选择区域，在降低计算复杂度的同时，也有效地减弱了噪声对信号频率估计的影响。理论分析和仿真结果证明了该改进算法的可行性和有效性。

A New Algorithm of Frequency Estimation of Frequency Hopping Signal

The performance of Estimated Signal Parameters via Rotational Invariance Technique （ESPRIT） algorithm about frequency estimation is obviously declined, when the SNR of signal is relatively low. Aiming at this problem, an improved ESPRIT algorithm is proposed. On the basis of Noise Suppressed based on ESPRIT（NS-ESPRIT） algorithm, the improved algorithm can narrow the selection area of β in the improved ESPRIT algorithm based on module value of cross-correlation matrix trace by using r local maximum points of DFT spectrum. The algorithm not only reduces the computational complexity, but also weakens the impact of noise on frequency estimation of signal. Theoretical analysis and simulation results verify the effectiveness and feasibility of the proposed algorithm.