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The true Cramer-Rao bound for estimating the carrier phase of a convolutionally encoded PSK signal

机译:真正的Cramer-Rao用于估计卷积编码的psK信号的载波相位

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摘要

This contribution considers the true Cramer-Rao bound (CRB) related to estimating the carrier phase of a noisy linearly modulated signal in the presence of encoded data symbols. Timing delay and frequency offset are assumed to be known. A generall expression and computational method is derived to evaluate the CRB in the presence of codes for which a trellis diagram can be drawn (block codes, trellis codes, convolutional codes,...). Results are obtained for several minimum free distance non-recursive convolutional (NRC) codes, and are compared with the CRB obtained with random (uncoded) data [1] and with the modified Cramer-Rao bound (MCRB) from [2]. We find that for small signal-to-noise ratio (SNR) the CRB is considerably smaller for coded transmission than for uncoded transmission. We show that the SNR at which the CRB is close to the MCRB decreases as the coding gain increases, and corresponds to a bit error rate (BER) of about 0.001. We also compare the new CRBs with the simulated performance of (i) the (code-independent) Viterbi & Viterbi phase estimator [3] and (ii) the recently developed turbo synchronizer [4,5].
机译:该贡献考虑了与在存在编码数据符号的情况下估计有噪声的线性调制信号的载波相位有关的真实克莱默-拉奥界(CRB)。假定定时延迟和频率偏移是已知的。在存在可以绘制网格图的代码(块代码,网格代码,卷积代码等)的情况下,得出一种通用表达式和计算方法来评估CRB。获得了几个最小自由距离非递归卷积(NRC)码的结果,并将其与使用随机(未编码)数据[1]以及通过[2]修改的Cramer-Rao界(MCRB)获得的CRB进行了比较。我们发现,对于较小的信噪比(SNR),CRB的编码传输比未编码传输要小得多。我们显示,CRB接近MCRB时的SNR随着编码增益的增加而降低,并且对应于大约0.001的误码率(BER)。我们还将新的CRB与(i)(独立于代码的)Viterbi&Viterbi相位估计器[3]和(ii)最近开发的Turbo同步器[4,5]的仿真性能进行比较。

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