基于探测区域搜索的TOA量测数据关联

TOA data association based on reconnaissance region searching

到达时间(time of arrival,TOA)量测数据关联是多发单收非协同探测系统中的关键技术之一。针对传统算法中由于需要排列组合导致运算量大的问题,提出一种基于探测区域搜索的TOA量测数据关联算法。首先通过方位搜索,得到多条TOA曲线的离散采样点,然后通过对离散曲线进行扩散叠加,可将量测数据关联问题转化为二维平面的峰值检测问题。仿真实验表明,所提算法在几乎不影响关联正确率的前提下,能够有效提高运算效率,具有良好的工程应用前景。

Time of arrival (TOA) data association is a key technology in multiple illuminators and the single receiver based non-cooperative detect systems. To solve the problem that the permutation and combination in the traditional algorithms result in a high computational cost, this paper proposes a TOA data association algorithm based on the reconnaissance region searching. Firstly, some samples of the TOA curves can be obtained by azimuth searching, and then the data association problem can be transformed into a 2-dimensional detection problem by blurring and adding the curves. The simulation results show that the proposed algorithm can improve the computational efficiency with hardly reduction of the correct association probabilities, implying good application prospect.