Using Multilayer Perceptrons to Align High Range Resolution Radar Signals
Using Multilayer Perceptrons to Align High Range Resolution Radar Signals
复制标题
使用多层感知器来对齐高分辨率雷达信号
DOI：
10.1007/11550907_144
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发表时间：
2005
期刊：
影响因子：
--
通讯作者：
F. López
中科院分区：
文献类型：
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作者：
R. Gil;M. Rosa;P. J. Amores;F. López
在本文中，我们提出了使用多层感知器（MLP）对准高距离分辨率（HRR）雷达信号的时间循环移位。为了研究该算法的性能，测量了不同信噪比下的位移估计误差。零相位方法用于比较目的。结果表明，零相位方法的最佳性能与完全失调的模式，和最好的性能的MLP与低等级的失调。利用这些结果，提出了一种新的方法。首先，使用零相位算法来预对准信号。然后，使用预对准的信号训练MLP，以便在偏移的估计上获得更高的精度。结果显示，改善高达30%。
In this paper we propose the use of Multilayer Perceptrons (MLPs) to align High Range Resolution (HRR) radar signals circularly shifted in time. To study the performance, the error of shift estimation is measured for different values of Signal to Noise ratio (SNR). The Zero Phase method is used for comparison purposes. Results show the best performance of the Zero Phase method with completely misaligned patterns, and the best performance of the MLP with low grades of misalignment. Using these results, a new method is proposed. First, the Zero Phase algorithm is used to pre-align the signals. Then, a MLP is trained using the pre-aligned signals in order to get more accuracy on the estimation of the shift. Results show an improvement up to 30%.