带限信号二次采样的参数化模型

A. Ferrari, R. Lorion, G. Alengrin
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引用次数: 0

摘要

本文采用非均匀采样的方法来解决歧义问题。在相干脉冲多普勒雷达的多普勒估计中会出现这个问题。本文研究了两个样本之间的时间间隔是时间的线性函数的情况:二次抽样。假设连续信号是平稳的,则采样后的信号是非平稳的。推导了该信号的自相关性,并推导了采样信号的维格纳分布与连续信号频谱的关系。因此,信号的时间频率宽减将验证对称性。这些约束,假设采样信号的AR进化模型和连续信号的频带限制,允许为样本推导特定的时变模型。然后提出了一种相关的估计算法,导致频谱展开。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A parametric model for the quadratic sampling of a bandlimited signal
The paper treats the problem of ambiguity resolution using non-uniform sampling. This problem occurs for Doppler estimation in coherent pulsed Doppler radar. In the paper, the authors study the case where the duration between two samples is a linear function of time: quadratic sampling. Assuming that the continuous signal is stationary, the sampled signal will be non-stationary. The autocorrelation of this signal is derived and the Wigner distribution of the sampled signal related to the spectrum of the continuous signal. As a consequence, a time frequency relief of the signal will verify symmetries. These constraints, assuming an AR evolutive model for the sampled signal and band limitation for the continuous signal, allow the derivation of a particular time varying model for the samples. An associated estimation algorithm, leading to the unfolded spectrum is then proposed.
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