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Detection of air maneuvering targets based on the reconstruction of the target signal

机译:基于目标信号重构的空中机动目标检测

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In this paper, a method based on the reconstruction of the target signal is presented for detecting the maneuvering aerial targets with the strong clutter background. Firstly, the signal model of the target is constructed. Secondly, the data after clutter suppression is obtained. Then, the parameters of the targets can be estimated while using nonlinear least squares (NLS) through minimizing the sum of the squares of the distances between the former two. The method can provide an accurate estimate of the parameters even when the data sample is limited. The effectiveness of the method is verified via simulated data.
机译:本文提出了一种基于目标信号重构的方法,用于检测背景较杂乱的机动空中目标。首先,构建目标的信号模型。其次,获得杂波抑制后的数据。然后,在使用非线性最小二乘(NLS)的情况下,可以通过使前两个距离的平方和最小化来估计目标的参数。即使数据样本有限,该方法也可以提供参数的准确估计。通过仿真数据验证了该方法的有效性。

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