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Radar Detection of Small Target in Sea Clutter Using Orthogonal Projection

机译:正交投影法检测海杂波中的小目标

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Sea clutter submerges the small target echo, which is disadvantageous for radar target detection. In this letter, we propose to suppress the sea clutter by orthogonal projection (OP). We construct the clutter subspace directly by the observed data vectors of neighboring range cells of the cell under test (CUT), and then suppress the sea clutter of the CUT by projecting the observed signal of the CUT to the clutter orthogonal subspace. We design a new detector which combines the cell averaging constant false alarm rate (CFAR) detector with the OP. The clutter suppression performance and computation complexity of OP are compared with those of singular value decomposition (SVD), respectively. Theoretical analysis and experimental results with real sea clutter demonstrate that the radar CFAR detection performance improves by using OP. And the CFAR detector based on OP is convenient to implement. The CFAR detection performance based on OP is the same as that based on SVD, whereas the computation complexity of OP is much less than that of SVD.
机译:海杂波淹没了小的目标回波,这对于雷达目标检测是不利的。在这封信中,我们建议通过正交投影(OP)来抑制海浪混乱。我们直接通过被测单元(CUT)的相邻范围单元的观测数据向量构造杂波子空间,然后通过将CUT的观察信号投影到杂波正交子空间来抑制CUT的海杂波。我们设计了一种新的检测器,它将单元平均恒定误报率(CFAR)检测器与OP结合在一起。将OP的杂波抑制性能和计算复杂度分别与奇异值分解(SVD)进行了比较。理论分析和真实海杂波的实验结果表明,使用OP可以提高雷达CFAR的检测性能。并且基于OP的CFAR检测器易于实现。基于OP的CFAR检测性能与基于SVD的CFAR检测性能相同,但是OP的计算复杂度远小于SVD。

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