A generalized Cramer-Rao lower bound for moving arrays

摘要

By properly including the forward motion of the array in the sig-nal model, improved bearing estimation performance for a towed line arraycan be obtained. The improvement is a consequence of utilizing the bearinginformation contained in the Doppler. In this paper, it is shown by use of theCramer-Rao lower bound that, as the array moves forward, the variance onthe bearing estimate for an array of pressure sensors decreases, and that if anarray of pressure-vector sensors is used, a significant improvement over thatobtained for the array using pressure sensors only is obtained.