利用极化信息的高频地波雷达TBD检测算法

TBD algorithm based on polarization information of high frequency surface wave radar

摘要:

为解决复杂的杂波背景造成高频地波雷达目标检测上的困难，针对高频地波雷达的极化特性，提出了一种将极化信息与传统动态规划算法相结合的TBD检测新方法.该方法利用运动目标方向信息和极化信息对算法进行优化，并通过预检测减小计算量.在高斯背景和高频地波雷达实测数据中的仿真和检测结果表明，存在电离层杂波干扰时，基于极化信息的检测前跟踪新方法比传统动态规划算法性能明显提高.

Abstract:

Complex clutters of High Frequency Surface Wave Radar cause difficulties on target detection. Based on polarization characteristics of HFSWR, a new method by combining polarization information with the traditional dynamic programming algorithm is proposed. Moving target direction information and polarization information are used to improve the performance of the algorithm, and pre-detection technique is adopted to reduce the amount of calculation. The simulation and test results in a Gaussian background and HFSWR measured data show that the new algorithm based on polarization information has significant performance benefits compared to the traditional method based on dynamic programming algorithm in the ionosphere clutter.