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。
Acoustic vector sensor can measures the pressure and particle velocity information of the same point in aeoustie 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 uew ESPRIT algorithm for frequency estimating is proposed based on the pressure and velocity cross covariance matrix,whieh 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.
出处
《计算机工程与应用》
CSCD
北大核心
2008年第10期154-156,共3页
Computer Engineering and Applications
基金
国家高技术研究发展计划(863)(the National High- Tech Research and Development Plan of China under Grant No.2006AA09Z234)
关键词
ESPRIT算法
声矢量传感器
联合处理
频率估计
ESPRIT algorithm
acoustic vector sensor
combined processing
frequency estimating
