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Accuracy and computational comparisons of TLS-Prony Burg and FFT-based scattering center extraction algorithms

机译:TLS-Prony Burg和基于FFT的散射中心提取算法的精度和计算比较

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Abstract: Scattering centers extracted from radar returns are features that can be used for automatic target recognition (ATR). Most scattering center extraction algorithms fall into one of two large classes: FFT- based and model-based techniques. In this paper, we consider one FFT-based and two model-based techniques: (1) FFT with peak extraction, (2) the Burg autoregressive method, and (3) the TLS-Prony method. We present experiments that compare the algorithms for three test scenarios. We compare the algorithms in terms of scattering center accuracy and computational cost. !17
机译:摘要:从雷达回波中提取的散射中心是可用于自动目标识别(ATR)的功能。大多数散射中心提取算法属于两大类之一:基于FFT和基于模型的技术。在本文中,我们考虑一种基于FFT的技术和两种基于模型的技术:(1)具有峰值提取的FFT,(2)Burg自回归方法和(3)TLS-Prony方法。我们提供了针对三种测试场景比较算法的实验。我们比较了散射中心精度和计算成本方面的算法。 !17

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