Generalized Radon transform approach to target motion parameter estimation using a stationary underwater vector hydrophone

Abstract

Underwater platforms provide long-term detection of undersea targets. In this paper, we propose a method for the estimation of target motion parameters by submerged static acoustic detection equipment. The proposed method is based on the Radon transform of modeling the target moving in a uniform straight line. The heading angle, the time to the closest point of approach (CPA), and the ratio of velocity to the horizontal range of the target at the CPA to the sensor are obtained by applying the generalized Radon transform (GRT) to bearing–time records. The velocity of the target is determined by applying the GRT to the line-spectrum–time records. Furthermore, the motion trajectory of the target with respect to the detection equipment can be calculated from the above parameters. To validate the feasibility and performance of the proposed method, computer simulations and sea trials based on a fixed single vector measurement system were analyzed in this paper. The results suggest that the proposed method can accurately estimate the motion parameters and can calculate the trajectory of the moving vessel along a straight line at constant velocity.

Estimation of Target Motion Parameters from the Tonal Signals with a Single Hydrophone

“…Because the acoustic signal emission time is τ and the receiving time is t, t > τ, Equation (15) can be sorted to obtain Equation (16).…”

“…The motion parameters contained in the interference fringe can be extracted by using the two-dimensional digital Fourier transform (2D-DFT), the Hough transform, the Radon transform, etc. [ 13 , 14 , 15 , 16 ]. In order to solve the coupling problem when using broadband interference fringes to estimate target motion parameters, ref.…”

Parameter estimation of underwater propeller based on inverse Radon transform

“…It can be seen that the points in the 𝑥𝑜𝑦 plane are transformed into sinusoidal curves in (𝑢, 𝛽) domain by Radon transformation. The amplitude of the sinusoidal curve is 𝐴 = 𝑥 + 𝑦 , and the phase is 𝜓 = arctan(𝑦 /𝑥 ) [13]- [16]. If Radon transform 𝑅 (𝑢, 𝛽) is given, the 2-D function 𝑓(𝑥, 𝑦) generating Radon transform is the inverse Radon transform.…”

Passive Velocity Estimation of a Distant Harmonic Source in a Pekeris Waveguide Based on Modal Doppler Shifts

“…Passive estimation of underwater source velocity appeals much attention. Many methods have been proposed to solve the problem [1]- [3]. Doppler velocity measurement [4]-[8] is a typical method for passive estimation of the source velocity.…”