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首页> 外文期刊>IEEE Transactions on Aerospace and Electronic Systems >Estimation techniques for GMSK using linear detectors in satellite communications
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Estimation techniques for GMSK using linear detectors in satellite communications

机译：卫星通信中使用线性检测器的GMSK估算技术

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摘要

This paper describes data-aided signal level and noise variance estimators for Gaussian minimum shift keying (GMSK) when the observations are limited to the output of a filter matched to the first pulse-amplitude modulation (PAM) pulse in the equivalent PAM representation. The estimators are based on the maximum likelihood (ML) principle and assume burst-mode transmission with known timing and a block of L0 known bits. While it is well known that ML estimators are asymptotically unbiased and efficient, the analysis quantifies the rate at which the estimators approach these asymptotic properties. It is shown that the carrier phase, amplitude, and noise variance estimators are unbiased and can achieve their corresponding Cramer-Rao bounds with modest combinations of signal-to-noise ratio and observation length. The estimates are used to estimate the signal-to-noise ratio. It is shown that the mean squared error performance of the ratio increases with signal-to-noise ratio while the mean squared error performance of the ratio in decibels decreases with signal-to-noise ratio. Simulation results are provided to confirm the accuracy of the analytic results.
机译：本文介绍了当观测仅限于与等效PAM表示中的第一个脉冲幅度调制（PAM）脉冲匹配的滤波器的输出时，用于高斯最小频移键控（GMSK）的数据辅助信号电平和噪声方差估计器。估计器基于最大似然（ML）原理，并假设采用已知时序和L0个已知比特的块进行突发模式传输。众所周知，ML估计量是渐近无偏的且有效的，但该分析量化了估计量接近这些渐近性质的速率。结果表明，载波相位，幅度和噪声方差估计量是无偏的，并且可以通过信噪比和观察长度的适度组合来实现其对应的Cramer-Rao边界。该估计用于估计信噪比。结果表明，该比率的均方误差性能随信噪比而增加，而该比率的均方误差性能随信噪比而降低。提供仿真结果以确认分析结果的准确性。

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