高频地波雷达(HFSWR)使用多重信号分类算法MUSIC 算法估计信号源的到达角时,接收通道幅相特性的不一致会使MUSIC 算法的分辨性能下降,甚至完全失效。文中针对单极子/ 交叉环天线提出一种基于海洋回波的相位校正方法:首先,预选出一阶谱区的大信噪比谱点;然后,结合天线三通道相位中心一致的特性进行有效谱点的筛选;最后,利用有效谱点的相位差均值估计出相位误差。将该方法应用于北部湾海域收集的实测数据处理中,验证了方法的有效性。

In high-frequency surface wave radar (HFSWR), the direction of arrival (DOA) of signal is determined by multiple signal classification (MUSIC) algorithm. The performance of MUSIC algorithm will be weaken by amplitude-phase errors of receiving channels enormously. In this paper, a phase calibration algorithm for wide-beam crossed-loop/ monopole antenna based on sea echo is proposed to calibrate the channels. Firstly, the first-order spectral points with large signal-to-noise ratios (SNR) are screened out as candidate sample. Then, they are sifted as calibration set by the constraint of the phase deviation. Finally, the phase errors are estimated by the mean value of phase error of calibration set. The field experimental result shows that the method can effectively improve the performance of MUSIC method and increase the accuracy of DOA estimation.

TN976