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Frequency estimation techniques for high dynamic trajectories

机译:高动态轨迹的频率估计技术

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摘要

A comparison is presented of four different estimation techniques applied to the problem of continuously estimating the rapidly varying parameters of a sinusoidal signal, observed in the presence of additive noise. Frequency estimates are emphasized, although phase and/or frequency rate are also estimated by some of the algorithms. These parameters are related to the velocity, position, and acceleration of the maneuvering receiver or transmitter. Estimated performance at low carrier-to-noise ratios and high dynamics is investigated for the purpose of determining the useful operating range of an approximate maximum likelihood estimator, an extended Kalman filter, a cross-product automatic frequency loop and a phase-locked loop. Numerical simulations are used to evaluate performance while tracking a common trajectory exhibiting high dynamics.
机译:比较了四种不同的估算技术,这些技术适用于在存在附加噪声的情况下连续估算正弦信号的快速变化参数的问题。强调频率估计,尽管某些算法也估计相位和/或频率速率。这些参数与机动接收机或发射机的速度,位置和加速度有关。为了确定近似最大似然估计器,扩展卡尔曼滤波器,叉积自动频率环路和锁相环的有用工作范围,研究了低载噪比和高动态时的估计性能。数值模拟用于评估性能,同时跟踪表现出高动态性的常见轨迹。

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