摘要
在多通道SAR/GMTI系统中,对各通道回波数据分别成像后采用最小范数特征相消法(MNE)进行二维自适应处理,可以有效地实现杂波和干扰的抑制,提高动目标检测性能,但算法运算量较大,不利于实时处理。首先对MNE基本原理进行分析,在此基础上,将近似投影子空间跟踪(PAST)技术引入到MNE中,提出了一种基于PAST的MNE算法用于多通道SAR动目标检测。与常规的MNE算法相比,新算法抑制杂波性能相当,但运算量有所降低,最后利用实测数据验证了该算法的有效性和优越性。
In a multi-channel SAR/GMTI system, MNE is used to perform the classical adaptive clutter suppression after the multi-channel echo imaging. But it suffers from high computational complexity. In this paper, the principle of MNE and its computational burden are investigated. Then we insert the projection approximation subspace tracking（PAST） technique into MNE and propose a new MNE method for moving target detection in a multi-channel SAR/GMTI system. Experimental results are presented to show that these two methods have the same performance, but the proposed method reduces the computational complexity.
出处
《雷达科学与技术》
2012年第3期305-309,共5页
Radar Science and Technology
关键词
合成孔径雷达
地面动目标指示
最小范数特征相消
近似投影子空间跟踪
空时自适应处理
synthetic aperture radar （SAR）
ground moving target indication（GMTI）
minimum norm eigencanceler（MNE）
projection approximation subspace tracking（PAST）
space time adaptive processing（STAP）
