空时频方位关联算法
发布时间：2018-09-09 16:38
【摘要】：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最优化二维分配。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。
[Abstract]:According to the characteristics of time-frequency separation between different signals in FH network, a space-time-frequency azimuth correlation algorithm is proposed by using time-frequency center of gravity to correlate the target azimuth data. The kernel function of space-time-frequency direction finding is designed according to the extracted time-frequency features, and a simplified space-time-frequency direction finding algorithm is implemented. Based on the cost function of time-frequency distance design, the optimal two-dimensional allocation of azimuth correlation results is realized based on Hungarian algorithm. By selecting the type and length of window function according to time-frequency distance, the influence of sidelobe leakage on direction finding accuracy is effectively avoided, and the correct probability of correlation under dense target condition is improved significantly. The numerical simulation verifies the above viewpoint.
【作者单位】： 国防科技大学电子科学与工程学院;
【基金】：国防重点实验室基金资助项目(9140C0202011003)
【分类号】：TN914.41
[Abstract]:According to the characteristics of time-frequency separation between different signals in FH network, a space-time-frequency azimuth correlation algorithm is proposed by using time-frequency center of gravity to correlate the target azimuth data. The kernel function of space-time-frequency direction finding is designed according to the extracted time-frequency features, and a simplified space-time-frequency direction finding algorithm is implemented. Based on the cost function of time-frequency distance design, the optimal two-dimensional allocation of azimuth correlation results is realized based on Hungarian algorithm. By selecting the type and length of window function according to time-frequency distance, the influence of sidelobe leakage on direction finding accuracy is effectively avoided, and the correct probability of correlation under dense target condition is improved significantly. The numerical simulation verifies the above viewpoint.
【作者单位】： 国防科技大学电子科学与工程学院;
【基金】：国防重点实验室基金资助项目(9140C0202011003)
【分类号】：TN914.41
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