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首页> 外文期刊>IEE proceedings. Radar, sonar and navigation >Two subspace-based methods for frequency estimation of sinusoidal signals with random amplitude
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Two subspace-based methods for frequency estimation of sinusoidal signals with random amplitude

机译:两种基于子空间的随机幅度正弦信号频率估计方法

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摘要

Sinusoidal signals with time-varying amplitude show up in many signal processing applications, such as in radar applications when the target is spatially dispersed. Amplitude modulation results in an enlargement of the signal subspace, i.e. the signal subspace corresponding to one amplitude-modulated sinusoid is no longer spanned by a single vector. The authors propose two subspace-based techniques to estimate the centre frequency of a sinusoidal signal with random ARMA amplitude. The proposed techniques are obtained by using the principles behind the ESPRIT and MODE approaches of frequency estimation and by appropriate adaptations and simplifications following careful considerations of the specifics of the problem considered. Numerical simulations illustrate the good performance of the methods. A robustified version of the proposed methods is described and successfully applied to real radar data.
机译:具有幅度随时间变化的正弦信号出现在许多信号处理应用中,例如在目标空间分散的雷达应用中。幅度调制导致信号子空间的扩大,即,与一个幅度调制的正弦曲线相对应的信号子空间不再被单个矢量跨越。作者提出了两种基于子空间的技术来估计具有随机ARMA幅度的正弦信号的中心频率。通过使用ESPRIT和MODE频率估算方法背后的原理,并在认真考虑了所考虑问题的细节之后,通过适当的调整和简化,来获得建议的技术。数值仿真表明了该方法的良好性能。描述了所提出方法的鲁棒版本,并将其成功地应用于实际雷达数据。

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