Abstract: Acoustic vector sensor can measures the pressure and particle velocity information of the same point in acoustic field simultaneously.Estimating the direction of arriving using the pressure and velocity combined processing are well documented in the literature，few attention has been put into the time and frequency estimates about the combined processing idea.A new ESPRIT algorithm for frequency estimating is proposed based on the pressure and velocity cross covariance matrix，which can reduce the computational burden to 1/27 of the previous algorithm.The Cramer-Rao lower bound is developed for the data model.The simulation shows the validity of the new algorithm.

Key words: ESPRIT algorithm, acoustic vector sensor, combined processing, frequency estimating

摘要： 声矢量传感器能够同步、共点地拾取声场的声压和质点振速。对声压和振速信息进行联合处理的思想在目标方位估计中已有成熟应用，在时频参数估计中进行联合处理尚不多见，提出了以声压振速互协方差矩阵为基础的ESPRIT频率估计算法，在不损失估计性能的前提下，计算量减小为现有算法的1/27。给出了所用模型的克拉美劳下限。仿真结果表明所提算法是有效的。

关键词: ESPRIT算法, 声矢量传感器, 联合处理, 频率估计