Study of high resolution frequency estimation algorithm using a single vector sensor
Lanyue Zhang · Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University · 2007
ESPRIT algorithm based on subspace decomposition is usually used to estimate the direction of arrival(DOA) of source in array signal processing.If the space shift invariance is replaced by the time shift invariance,the high resolution frequency estimation can be obtained using a single vector sensor.In this paper,ESPRIT algorithm based on a single vector sensor was studied for high resolution frequency estimation.The data model of a vector sensor was established.Space-time array manifold of a vector sensor was derived.The estimation of frequency of a target signal could be obtained by decomposition of the covariance matrix. The performance at different signal-to-noise ratio,sample frequency and snapshots were tested by simulation.The results indicate that ESPRIT algorithm based on vector sensor can obtain higher resolution frequency estimation than that based on pressure hydrophone.