Generalized Radon Transform Approach to Motion Parameter Estimation of Single Target Moving in Multiple Straight-line Segments

摘要

To improve the estimation of motion parameters by submerged static acoustic detection equipment, we designed a method to estimate target motion parameters based on the model of a target moving in multiple straight-line segments at a constant speed. The number of segments and the time at which the target changes its course are obtained by applying the generalized Radon transform (GRT) to bearing–time records (BTRs). On this basis, the BTRs can be divided into different segments, and these are then processed in turn by using GRT to obtain the motion parameters of each segment, namely 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. Computer simulations based on a fixed single vector measurement system serve to validate the feasibility and performance of the proposed method. The results suggest that the proposed method not only estimates the motion parameters accurately, but can also identify the time at which the target changes its course.