摘要
昆虫上升下降率是反映昆虫在迁飞过程中的运动方向与运动速率的重要指标。由于现行垂直昆虫雷达存在距离分辨率低、目标检测关联算法不完善等问题,昆虫上升下降率的提取较为复杂。本文提出一种基于Radon变换的昆虫上升下降率提取算法,该算法通过脉冲多普勒积累与恒虚警检测实现了雷达快时间/慢时间一维距离像矩阵到二值化航迹矩阵的转换,再利用Radon变换将二值化航迹矩阵中昆虫航迹跟踪与拟合问题转化为参数域的峰值检测问题,避免了传统雷达多目标关联中存在的目标运动过程易受背景影响、算法运算量大等问题,直接实现了从目标检测结果到昆虫上升下降率的提取。通过对实测数据的处理,验证了该算法的可行性。
Reflecting the direction and velocity of the movement, ascent and descent rate are important parameters in insects’ migration. Traditional entomological radars have problems such as low range resolution, primary target detection and association algorithm, which make it difficult to extract the ascent and descent rate. In this paper, we proposed an ascent and descent rate extraction algorithm based on Radon transform. The pulse Doppler and cell-averaging constant false alarm rate were employed to transform the two-dimensional data matrix from a series of M radar echoes to the binary image indicating the traces of insects. As for the binary image, Radon transform was utilized. In this way, the ascent and descent rate was extract directly, which not only solved the problems in the traditional multi-targets association such as the background effect in targets’ movement but also reduce the computational complexity of the algorithm. Experimental data were processed to verify the validity of proposed algorithm.
作者
胡程
张天然
王锐
Hu Cheng;Zhang Tianran;Wang Rui(Radar Research Lab, School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China;Key Laboratory of Electronic and Information Technology in Satellite Navigation (Beijing Institute of Technology),Ministry of Education, Beijing 100081, China)
出处
《信号处理》
CSCD
北大核心
2019年第6期1072-1078,共7页
Journal of Signal Processing
基金
国家自然科学基金(31727901)
关键词
上升下降率
昆虫雷达
昆虫检测
RADON变换
ascent and descent rate
entomological radar
insect detection
Radon transform
