基于幅相信息的和差波束非均匀检测器

Non-homogeneous Detector for ΣΔ-Beam Based on Amplitude and Phase Information

由于现有的非均匀检测器(NHD)普遍存在运算量大、难以实时实现等问题,文中提出了一种基于幅相信息的和差波束非均匀检测器。该方法首先采用恒虚警技术(CFAR)检测出强目标和强杂波信号,然后剔除强目标并对强杂波信号进行加权处理,以改善距离样本的均匀性,最后利用常规自适应算法抑制杂波,完成对弱目标的检测。理论分析和对实测数据的处理表明,该检测器能有效地检测出动目标,提高输出信噪杂比,并具有运算量小,易于工程实现等优点。

Because of common problems all non-homogeneous detectors( NHD) available have,such as great computation load and real time implementation,a new NHD is proposed for ΣΔ-beam based on amplitude and phase information in this paper. This method first uses constant false alarm detector to detect strong moving targets and strong clutter,and then eliminates strong moving targets and weights strong clutter to improve sample's homogeneity,at last adopts conventional adaptive algorithm to suppress clutter and to detect weak moving targets. Theoretical analysis and experimental results show that this new method enjoys good detection performance and high improvement factor,and owns low computation load,which is more suitable for real time implementation.