天波雷达欠密度流星余迹干扰抑制算法

针对欠密度流星余迹干扰严重影响天波超视距雷达(OTHR)目标检测的问题,提出了欠密度流星余迹干扰抑制算法。应用二进小波变换(DWT)计算流星余迹干扰的位置,并将该位置的回波数据组成3阶Hankel张量;采用高阶正交迭代(HOOI)算法和总体最小二乘(TLS)算法,抑制张量中的噪声分量和求解流星余迹干扰参数,解得流星余迹干扰的时域回波数据;从回波数据中去除流星余迹干扰,得到干扰抑制后的时域回波数据。与现有流星余迹干扰抑制算法相比,该方法提高了目标的信杂噪比(SCNR)。

Under-dense Meteor Trail Interference Suppression Algorithm for Over-the-horizon Radar

An under-dense meteor trail interference suppression algorithm is proposed to solve the problem of that under-dense meteor trail interference severely affects the target detection performance of over-the-horizon radar (OTHR).The dyadic wavelet transform (DWT) algorithm is utilized to calculate the position of meteor trail interference, and Hankel tensor of three orders is constructed by the data of meteor trail interference. Then the noise component of tensor is refrained and the parameter of meteor trail interference is resolved by higher order orthogonal iteration（HOOI）algorithm and total least squares (TLS) algorithm, thus attaining the echo data of meteor trail interference in time domain. The meteor trail interference is subtracted from echo data to obtain the echo data after the meteor trail interference is refrained. Compared with existing meteor trail interference suppression methods, the proposed method could improve signal-to-clutter and noise ratio (SCNR) of target.