关于使用带限信号调制载波的时延和多普勒估计的渐近性能

IF 1.9 4区 工程技术 Q2 Engineering
Joan M. Bernabeu, Lorenzo Ortega, Antoine Blais, Yoan Grégoire, Eric Chaumette
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引用次数: 0

摘要

时延和多普勒估算在各个工程领域都至关重要,因为估算这些参数是接收机运行序列的关键初始步骤之一。由于其重要性,多年来人们已经推导出了克拉梅尔-拉奥边界(CRB)和最大似然估计(MLE)的多种表达式。之前的研究从传输过程引入未知相位的假设出发,这阻碍了在理论推导中明确考虑载波相位分量中的时延参数。然而,本论文考虑到了这一附加项,假设这种未知相位是可以推断和补偿的。这一新条件导致推导出一种新的 MLE。随后,假定信号是带限制的,为渐近区域的时间延迟和多普勒参数提供了可实现的均方误差 (MSE) 的闭式表达。这两个表达式都通过蒙特卡罗模拟进行了验证。这一分析揭示了 MLE 的五个不同运行区域,完善了现有知识,并为时延估计提供了宝贵的见解
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the asymptotic performance of time-delay and Doppler estimation with a carrier modulated by a band-limited signal

Time-delay and Doppler estimation is crucial in various engineering fields, as estimating these parameters constitutes one of the key initial steps in the receiver’s operational sequence. Due to its importance, several expressions of the Cramér–Rao Bound (CRB) and Maximum Likelihood Estimation (MLE) have been derived over the years. Previous contributions started from the assumption that the transmission process introduces an unknown phase, which hindered the explicit consideration of the time-delay parameter in the carrier-phase component in theoretical derivations. However, this contribution takes into account this additional term under the assumption that such an unknown phase is inferred and compensated for. This new condition leads to the derivation of a novel MLE. Subsequently, a closed-form expression of the achievable Mean Squared Error (MSE) for the time-delay and Doppler parameters is provided for the asymptotic region, assuming the signal is band-limited. Both expressions are validated via Monte Carlo simulations. This analysis reveals five distinct regions of operation of the MLE, refining existing knowledge and providing valuable insights into time-delay estimation

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来源期刊
EURASIP Journal on Advances in Signal Processing
EURASIP Journal on Advances in Signal Processing 工程技术-工程:电子与电气
CiteScore
3.50
自引率
10.50%
发文量
109
审稿时长
2.6 months
期刊介绍: The aim of the EURASIP Journal on Advances in Signal Processing is to highlight the theoretical and practical aspects of signal processing in new and emerging technologies. The journal is directed as much at the practicing engineer as at the academic researcher. Authors of articles with novel contributions to the theory and/or practice of signal processing are welcome to submit their articles for consideration.
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