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Joint maximum-likelihood data and bit synchronization epoch estimation for burst direct sequence spread-spectrum transmission

机译:突发最大直接序列扩频传输的联合最大似然数据和比特同步时间估计

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We derive the optimal joint maximum-likelihood (ML) estimator of the bit synchronization epoch and data bit values for a short burst direct-sequence spread-spectrum (DSSS) transmission, for both the white and colored noise environments. The DSSS signal is assumed already downconverted and despread. We show that the additional computational burden incurred by using the estimator derived for the colored noise case is not justified. We then develop a fast acquisition suboptimal algorithm and analyze its performance. The suboptimal algorithm reduces the computational cost by more than one order of magnitude on the average, at no accuracy expense for carrier-to-noise ratios which insure the reliable estimation of the carrier phase, carrier Doppler and spreading code epoch.
机译:对于白噪声和彩色噪声环境,我们针对短突发直接序列扩频(DSSS)传输推导了比特同步纪元和数据比特值的最佳联合最大似然(ML)估计器。假设DSSS信号已经下变频和解扩。我们表明,使用为有色噪声情况导出的估计器引起的额外计算负担是没有道理的。然后,我们开发一种快速获取次优算法并分析其性能。次优算法平均将计算成本降低了一个数量级以上,而不会为确保载波相位,载波多普勒和扩频码元的可靠估计而对载波噪声比造成精度损失。

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