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On the Impact of Unknown Signals on Delay, Doppler, Amplitude, and Phase Parameter Estimation

机译:关于未知信号对延迟,多普勒,幅度和相位参数估计的影响

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The estimation of time delay, Doppler shift, amplitude, and phase is an important fundamental tool in signal processing, which has received extensive study for cases with known transmitted signals, but little study for unknown transmitted signals. We derive the closed-form Cramér–Rao bound (CRB) expressions for joint or separate estimation of time delay, Doppler shift, amplitude, and phase with unknown signals with possibly known structure and possible multiple looks at direct path and reflected path observations. The presented results generalize previous results for known transmitted signals and show how many looks from the direct path and the reflected path we need to derive an accurate estimation of time delay, Doppler shift, amplitude, and phase. The advantages of the known signal format with unknown parameters over totally unknown signals are illustrated. After analysis under a simple white clutter-plus-noise model, extensions to the case with dependent clutter plus noise are discussed. Numerical results show very similar behavior. Numerical calculations of the mean square error from maximum likelihood estimation are provided to support the utility of the unknown signal CRB and the known signal format CRB.
机译:时延,多普勒频移,幅度和相位的估计是信号处理中的重要基础工具,对于已知传输信号的情况已经进行了广泛的研究,而对未知传输信号的研究却很少。我们推导了闭合形式的Cramér-Rao界(CRB)表达式,用于联合或单独估计具有未知信号的时延,多普勒频移,幅度和相位,其结构可能已知,并且可能在直接路径和反射路径观察中有多个外观。呈现的结果概括了已知传输信号的先前结果,并显示了直接路径和反射路径需要多少视线,我们需要对时间延迟,多普勒频移,幅度和相位进行精确估计。说明了具有未知参数的已知信号格式相对于完全未知信号的优势。在简单的白色杂波加噪声模型下进行分析之后,讨论了相关杂波加噪声情况的扩展。数值结果显示非常相似的行为。提供了根据最大似然估计进行的均方误差的数值计算,以支持未知信号CRB和已知信号格式CRB的实用性。

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