摘要
与传统生物雷达相比,MIMO雷达能获取人体目标的方位向信息,具有明显优势。为了降低人体目标运动以及近场环境杂波带来的干扰,提出了一种改进的MIMO生物雷达人体目标检测跟踪联合自适应算法。首先引入图像形态学的方法对雷达成像结果进行杂波预处理,其次采用改进的自适应门限方法进行目标检测,最后采用航迹关联方法得到目标运动的准确轨迹,并依据目标位置反馈调整检测门限,从而实现人体目标的动态检测跟踪。实测数据表明,该方法能有效滤除杂波干扰,且具备良好的跟踪连续性。
Compared with traditional biological radars,MIMO radars can obtain the azimuth information of human targets,which had obvious advantages.In order to reduce the interference caused by human target motion and near-field environmental clutter,an improved MIMO bio-radar human target detection and tracking joint adaptive algorithm was proposed.First,the method of image morphology was introduced to pre-process the clutter of the radar imaging results.Second,the improved adaptive threshold method was used to detect the target.Finally,the track correlation method was used to obtain the accurate trajectory of the target movement,and the detection threshold was adjusted according to the target position.The measured data shows that the method can effectively filter out clutter interference and has good tracking continuity.
作者
韩文婷
娄昊
樊阳
李志勇
梁福来
HAN Wenting;LOU Hao;FAN Yang;LI Zhiyong;LIANG Fulai(Engineering University of PAP,Xi’an,Shaanxi 710086,China;Air Force Military Medical University,Xi’an,Shaanxi 710086,China)
出处
《信号处理》
CSCD
北大核心
2021年第11期2227-2234,共8页
Journal of Signal Processing
基金
国家自然科学基金项目(31800822,61801516)
武警工程大学中青年科研骨干(KYGG201909)
武警工程大学科研创新团队(KYTD201904)资助。
关键词
MIMO生物雷达
人体目标
自适应门限
检测跟踪联合算法
MIMO biological radar
human target
adaptive threshold
joint detection and tracking algorithm
