基于LOWESS回归的一阶海杂波识别算法

An Algorithm for the First-Order Sea Clutter’s Recognition Based on LOWESS

高频地波雷达在对低速目标进行检测时,回波信号中一阶海杂波影响目标检测。为在RD谱中确定一阶海杂波的位置从而规避海杂波影响,提出了一种基于LOWESS回归的一阶海杂波识别算法,该算法在对海杂波局部峰值检测的研究基础上,预先对数据进行了LOWESS回归平滑滤波,将一阶海杂波相对抬高,再结合脊背峰值检测和对称偏移检测的方法进行一阶海杂波位置信息提取。实测数据的仿真结果表明,该方法能够很好地在RD谱中提取海杂波的位置信息,为海杂波的评估与抑制提供了理论依据。

When the high frequency surface wave radar detects low-speed targets,the first-order sea clutter in the echo signal will influence the consequence.In order to confirm its location in Range-Doppler spectra,and to decrease its negative effects,we put forward an algorithm based on LOWESS regression to discern it.Based on traditional local peak detection,this algorithm firstly processes the data in the spectra by LOWESS regression smoothing,raising first-order sea clutter’s height.Then with the help of local peaks’detection and symmetrical migration detection,we can get its location information.The simulation results of the measured data show that,this method can effectively extract the first-order sea clutter’s location information in Range-Doppler spectra,which provides a theoretical basis for the evaluation and inhibit of sea clutter.