摘要
针对基于标准Hough变换的TBD算法在低信噪比环境下检测概率较低以及运算时间较长的问题,提出一种基于遍历Hough变换的TBD方法。将接收到的各帧回波点进行第一门限判决并依次存储到不同矩阵中;把所有超过第一门限的点统一叠加到数据平面;接着两两遍历组合数据平面中不同点求取直线参数,将其投影到参数平面对应单元,并建立累加器,同时将组合两点的幅值积累到该单元对应的累加器中;提取累加器中积累值超过第二门限单元,实现航迹回溯。通过仿真比较所提算法与其它两种基于Hough变换的TBD算法,验证了所提方法能够有效提高低信噪比下目标的检测概率并且运算时间也比标准Hough变换少。
The performance of track-before-detect(TBD) algorithm based on standard Hough Transform is not satisfied due to low detection probability and long elapsed time.For this problem,an Ergodic Hough Transform based TBD method was proposed.The raw radar echo whose amplitude exceeded the first threshold was stored separately and stacked into a data space;all different data were combined to calculate line parameter which then was mapped into a parameter space and the amplitude of each paired wae added to an accumulator.All cells whose amplitude exceeded the second threshold was used to estimate the last line parameter and to get the target track.Compared with two other Hough Transform based TBD techniques in simulation,the proposed method can improve the detection probability and consume shorter elapsed time.
出处
《系统仿真学报》
CAS
CSCD
北大核心
2015年第6期1316-1323,共8页
Journal of System Simulation
