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首页> 外文期刊>IEEE Transactions on Aerospace and Electronic Systems >A novel multistage estimation of signal parameters
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A novel multistage estimation of signal parameters

机译：一种新颖的信号参数多级估计

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摘要

A multistage estimation scheme is presented for estimating the parameters of a received carrier signal possibly phase-modulated by unknown data and experiencing very high Doppler, Doppler rate, etc. Such a situation arises, for example, in the case of the Global Positioning Systems (GPS). In the proposed scheme, the first-stage estimator operates as a coarse estimator of the frequency and its derivatives, resulting in higher RMS estimation errors but with a relatively small probability of the frequency estimation error exceeding one-half of the sampling frequency (an event termed cycle slip). The second stage of the estimator operates on the error signal available from the first stage, refining the overall estimates, and in the process also reduces the number of cycle slips. The first-stage algorithm is a modified least-squares algorithm operating on the differential signal model and referred to as differential least squares (DLS). The second-stage algorithm is an extended Kalman filter, which yields the estimate of the phase as well as refining the frequency estimate. A major advantage of the proposed algorithm is a reduction in the threshold for the received carrier power-to-noise power spectral density ratio (CNR) as compared with the threshold achievable by either of the algorithms alone.
机译：提出了一种多级估计方案，用于估计可能由未知数据进行相位调制并经历非常高的多普勒，多普勒速率等的接收载波信号的参数。例如，在全球定位系统（全球定位系统）。在提出的方案中，第一级估计器用作频率及其导数的粗略估计器，导致较高的RMS估计误差，但频率估计误差超过采样频率的一半的可能性相对较小（事件称为循环滑移）。估计器的第二阶段将根据第一阶段提供的误差信号进行操作，以完善总体估计，并且在此过程中还可以减少循环转差的次数。第一步算法是一种在差分信号模型上运行的改进的最小二乘算法，被称为差分最小二乘（DLS）。第二阶段算法是扩展的卡尔曼滤波器，它可以产生相位估计以及完善频率估计。所提出的算法的主要优点是，与仅通过任一算法可达到的阈值相比，接收到的载波功率与噪声功率谱密度比（CNR）的阈值降低了。

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