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New Results on Symbol Rate Estimation in Digital Satellite Receivers

机译:数字卫星接收器符号速率估计的新结果

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Estimator algorithms for transmission parameters like carrier frequency and phase or symbol timing have already reached a mature state, which is also confirmed by a nearly infinite number of papers available from the open literature. However, when it comes to the recovery of the symbol rate, the situation is somewhat different with much less information published so far. A major reason for this is the fact that the symbol rate is typically known to the receiver station and little deviations from the nominal value do not really affect the performance, at least in burst-mode systems with smaller packet sizes. But this assumption does not hold true in a non-cooperative environment or when data are transmitted continuously; for this kind of scenarios, it might be mandatory to estimate and correct the symbol rate by a powerful algorithm. In the current paper, we introduce a data-aided and carrier-blind method for joint estimation of symbol timing and symbol period, which is based on the evaluation of a two-dimensional correlation procedure. In order to reduce the computational load, the timing and rate axes are discretized appropriately, whereas values in between are addressed by an interpolative process. In addition, the modified Cramer-Rao lower bound (MCRLB) is derived as the theoretical limit of the jitter performance. In case of a negligible frequency offset, it is shown by numerical results that the jitter variance is close to the MCRLB, otherwise it is suggested that the observation window is partitioned suitably with each partition subject to the developed algorithm.
机译:用于载波频率和相位或符号定时等透射参数的估计算法已经达到了成熟状态,也通过从开放文献中获得的几乎无限数量的纸张来证实。然而,在恢复符号率的恢复过程中,情况略微不同,到目前为止发布的更少信息。这是一个主要原因,即符号速率通常是已知接收器站,并且与标称值的偏差很小地没有真正影响性能,至少在具有较小分组尺寸的突发模式系统中。但是在非协作环境中或者何时连续传输数据时,此假设不会保持符合。对于这种情况,可能是强制性算法估计和校正符号率可能是强制性的。在目前的纸张中,我们介绍了一种数据辅助和载波盲方法,用于联合估计符号时序和符号周期,这是基于对二维相关过程的评估。为了降低计算负载,适当地离散地分散定时和速率轴,而之间的值由内插过程解决。此外,改进的Cramer-Rao下限(MCRLB)被推导为抖动性能的理论极限。在频率偏移可忽略不计的情况下,通过数值结果示出,即抖动方差接近MCRLB,否则建议观察窗口与经过开发算法的每个分区适当地划分。

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