基于坐标变换与随机Hough变换的抛物线运动目标检测算法

该文提出了一种在雷达坐标平面中检测匀加速机动目标抛物线轨迹的新算法。该算法将抛物线方程的坐标变换与随机Hough变换三点检测法结合起来检测任意方向的抛物线轨迹，并利用所检测到的点迹的速度信息来消除虚假目标。Monte Carlo仿真表明，在密集杂波条件下，高检测概率会带来高的虚警概率；而在稀疏杂波条件下，检测效果比较好。

An Algorithm of Detecting Moving Target with Parabolic Track Using Coordinate Transform and Randomized Hough Transform

This paper proposes a new algorithm of detecting target with constant acceleration along parabolic track on the radar coordinate plane. This algorithm combines coordinate transformation of the parabolic equation and three-point detection algorithm based on randomized hough transform to detect parabolic tracks in any orientation, and employs the velocity information of detected tracks to delete false alarms. Monte Carlo simulation shows that higher detection probability goes with higher false alarm probability in the background of heavy clutters; however in the background of sparse clutters, the detection performance is better.