基于空时频分析的方位关联算法*

针对跳频组网通信中不同信号间的时频分隔特点，利用时频重心进行目标方位数据关联，提出了空时频方位关联算法。根据提取的时频特征设计空时频测向的核函数，实现了简化的空时频测向算法。根据时频距离设计代价函数，基于匈牙利算法实现了方位关联结果的搜素。根据时频距离选择窗函数的类型和长度，有效避免了信号旁瓣泄露对测向精度的影响，显著提高了密集目标条件下的关联正确概率。数值仿真验证了上述观点。

Direction association algorithm based on spatial-time-frequency analysis

A novel spatial-time-frequency data association (STFDA) algorithm is proposed by taking advantage of the time-frequency separation between different frequency-hopping signals, which uses the time-frequency center as the basis of association. The time-frequency characteristics extracted from time-frequency analysis are used to design appropriate core function and construct a simplified TF-MUSIC algorithm. The Hungarian algorithm is incorporated in STFDA to search the best association scheme according to the cost functions from the time-frequency distance of different signals. Appropriate window function designed on time-frequency distance can prevent the side robe leakage from decreasing the precision of direction estimation, and improve the association correction probability. The simulation results confirm feasibility and superiority of the proposed algorithm.