A generalized Cramér-Rao lower bound for moving arrays.
By properly including the forward motion of the array in the signal model, improved bearing estimation performance for a towed line array can be obtained. The improvement is a consequence of utilizing the bearing information contained in the Doppler. In this paper, it is shown by use of the Cramér-Rao lower bound that, as the array moves forward, the variance on the bearing estimate for an array of pressure sensors decreases, and that if an array of pressure-vector sensors is used, a significant improvement over that obtained for the array using pressure sensors only is obtained.
Sullivan
Edmund J
EJ
EJS Associates, Portsmouth, Rhode Island 02871, USA. paddypriest@aol.com
D001499:Bayes Theorem; D003198:Computer Simulation; D004301:Doppler Effect; D008962:Models, Theoretical; D009038:Motion; D011312:Pressure; D012815:Signal Processing, Computer-Assisted; D013997:Time Factors; D014160:Transducers, Pressure