多频率高频地波雷达的阵列幅相校正

Array amplitude and phase calibration for multi-frequency HFSWR

针对多频率高频地波雷达的工程应用,提出了基于自适应遗传算法的阵列无源校正方法.该方法将阵列幅度和相位校正问题转化为多元参数的联合估计问题,利用遗传算法得到了该优化问题的最优解估计.现场实测数据表明:与定点浮标观测结果相比,校正后多频率高频地波雷达海流探测性能大幅提高,在频率为14.2MHz下,相关系数由0.77变为0.85,均方根误差由29.25cm/s降到21.62cm/s;在频率为22.5MHz下,相关系数由0.86变为0.94,均方根误差由24.59cm/s降到17.58cm/s.

A passive array calibration method based on adaptive genetic algorithm （AGA） was proposed for the engineering applications of multi-frequency high frequency surface wave radars （HFSWR）, in which the array amplitude and phase errors calibrations were converted into a joint estimation of multiple parameters from AGA. The optimal solution estimate of optimization problem was obtained by genetic algorithms. An on-site experiment was conducted to verify the efficiency of calibration results. Comparison between buoy and radar current detection results indicate that at 14.2 MHz, correlation coefficient increases from 0.77 to 0.85 and root mean square error decreases from 29.25 em/s to 21.62 cm/s after calibration, respectively; and at 22.5 MHz, correlation coefficient increases from 0. 86 to 0. 94 and RMS error decreases from 24.59 cm/s to 17.58 cm/s after calibration, respectively.