基于相位相关的部分可辨编队精细起始算法

发布时间：2018-03-11 15:16

本文选题：部分可辨　切入点：航迹起始　出处：《航空学报》2017年04期 　论文类型：期刊论文

【摘要】：针对部分可辨条件下编队目标的精细起始难题,提出了一种基于相位相关的部分可辨编队精细起始算法。首先,采用基于坐标映射距离差分的快速群分割与基于编队中心点的预互联对雷达量测进行预处理;然后,利用图像匹配中相位相关特性,将相邻时刻编队结构进行补偿对准,解决了低目标发现概率情况下的编队结构对准问题;最后,采用增加虚拟量测并后验判决的方式,结合最近邻法做编队航迹精细互联,在填补航迹缺失、增加正确航迹的同时抑制虚假航迹的产生。经仿真验证,与修正的逻辑法、基于相对位置矢量的灰色编队精细起始算法相比,本文所提算法在提高航迹正确起始率、抑制虚假航迹方面性能优势显著,且对环境杂波与雷达精度具有较好的鲁棒性,对目标发现概率具有较好的适应性。
[Abstract]:In order to solve the problem of fine initiation of formation targets under partially identifiable conditions, a phase dependent partially identifiable formation fine initiation algorithm is proposed. Fast group segmentation based on coordinate mapping distance difference and pre-interconnection based on formation center point are used to preprocess radar measurements, and then the adjacent formation structure is compensated and aligned by using phase correlation in image matching. The problem of formation structure alignment under low target detection probability is solved. Finally, by adding virtual measurement and a posteriori decision, combined with the nearest neighbor method, the formation track is fine interconnected, which is used to fill the missing track. Compared with the modified logic method and the grey formation fine start algorithm based on relative position vector, the algorithm proposed in this paper can improve the correct start rate of track. The performance of false track suppression is significant and robust to environmental clutter and radar accuracy. It is adaptive to target detection probability.
【作者单位】：海军航空工程学院信息融合技术研究所;飞行器测控与通信教育部重点实验室;
【基金】：国家自然科学基金(91538201)~~
【分类号】：TP391.41

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