一种距离模糊下三维空间高超声速弱目标HT-TBD算法
发布时间：2018-09-03 10:06
【摘要】：针对雷达测距模糊条件下临近空间高超声速弱目标的检测跟踪问题,提出一种基于分时多重频多假设的分级降维HT-TBD算法。首先,为重构因距离模糊而丢失的目标时空相关性,利用多种脉冲重复频率分时交替工作并对各时刻的距离模糊量测在所有多假设区间进行距离延拓;然后,为了在保证检测性能的同时减小计算量,将延拓后的三维点迹依次降维映射至径向距离-时间、方位角-时间和仰角-时间平面进行三级二维Hough变换,并在每级采用非相参积累和二值积累相结合的双重积累方式进行点迹筛选以在充分利用点迹能量信息的同时尽量减小强干扰的影响。仿真结果表明,该算法可在距离模糊条件下对临近空间高超声速弱目标进行有效检测跟踪,并同时实现距离解模糊。
[Abstract]:Aiming at the problem of detection and tracking of hypersonic weak targets in adjacent space under the condition of fuzzy radar ranging, a hierarchical dimensionality reduction (HT-TBD) algorithm based on time-sharing multi-frequency and multi-hypothesis is proposed. Firstly, in order to reconstruct the temporal and spatial correlation of the target lost due to distance ambiguity, we use multiple pulse repetition frequency to work alternately and carry out the range extension of the distance ambiguity measurement at each time in all the multi-hypothesis regions. In order to ensure the detection performance and reduce the computational complexity, the extended 3D point trace is mapped to radial distance time, azimuth time and elevation angle time plane to carry out three dimensional Hough transform, and the extended 3D point trace is mapped to radial distance time, azimuth angle time and elevation angle time plane. In order to minimize the influence of strong interference, the point trace screening is carried out by combining the non-coherent accumulation and binary accumulation at each stage. The simulation results show that the algorithm can effectively detect and track hypersonic weak targets in the near space under the condition of distance fuzzy, and realize the distance deblurring at the same time.
【作者单位】： 海军航空工程学院信息融合研究所;
【基金】：国家自然科学基金(61731023,61372027,61501489,61671462,61701519) “泰山学者”建设工程专项经费资助项目
【分类号】：E926.4;TN957.51
本文编号：2219659
[Abstract]:Aiming at the problem of detection and tracking of hypersonic weak targets in adjacent space under the condition of fuzzy radar ranging, a hierarchical dimensionality reduction (HT-TBD) algorithm based on time-sharing multi-frequency and multi-hypothesis is proposed. Firstly, in order to reconstruct the temporal and spatial correlation of the target lost due to distance ambiguity, we use multiple pulse repetition frequency to work alternately and carry out the range extension of the distance ambiguity measurement at each time in all the multi-hypothesis regions. In order to ensure the detection performance and reduce the computational complexity, the extended 3D point trace is mapped to radial distance time, azimuth time and elevation angle time plane to carry out three dimensional Hough transform, and the extended 3D point trace is mapped to radial distance time, azimuth angle time and elevation angle time plane. In order to minimize the influence of strong interference, the point trace screening is carried out by combining the non-coherent accumulation and binary accumulation at each stage. The simulation results show that the algorithm can effectively detect and track hypersonic weak targets in the near space under the condition of distance fuzzy, and realize the distance deblurring at the same time.
【作者单位】： 海军航空工程学院信息融合研究所;
【基金】：国家自然科学基金(61731023,61372027,61501489,61671462,61701519) “泰山学者”建设工程专项经费资助项目
【分类号】：E926.4;TN957.51
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