Localizing a source of radial movement at moderate range using a single hydrophone can be achieved in the reliable acoustic path by tracking the time delays between the direct and surface-reflected arrivals (D-SR time delays). The problem is defined as a joint estimation of the depth, initial range, and speed of the source, which are the state parameters for the extended Kalman filter (EKF). The D-SR time delays extracted from the autocorrelation functions are the measurements for the EKF. Experimental results using pseudorandom signals show that accurate localization results are achieved by offline iteration of the EKF.
1 September 2017 in The Journal of the Acoustical Society of America
This paper presents a technique for calculating tracks of striations observed in the plot of acoustic intensity versus range and frequency. The striations result from the interference in acoustic propagation below the critical depth. The key of this technique is modeling Lloyd's-mirror interference fringes based on the ray-based description of the normal modes. Then, as the striations are interpreted as sampling fringes at different frequencies and ranges, a method to calculate their tracks is proposed based on the fringe model. Finally, experimental observations of striations are compared with results from the presented technique.
This paper presents a joint estimation method of source range and depth using a bottom-deployed vertical line array (VLA). The method utilizes the information on the arrival angle of direct (D) path in space domain and the interference characteristic of D and surface-reflected (SR) paths in frequency domain. The former is related to a ray tracing technique to backpropagate the rays and produces an ambiguity surface of source range. The latter utilizes Lloyd’s mirror principle to obtain an ambiguity surface of source depth. The acoustic transmission duct is the well-known reliable acoustic path (RAP). The ambiguity surface of the combined estimation is a dimensionless ad hoc function. Numerical efficiency and experimental verification show that the proposed method is a good candidate for initial coarse estimation of source position.