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Maximum Likelihood Timing Recovery for Digitally Modulated Burst Signals with Sampling Frequency and Delay Offset

机译:具有采样频率和延迟偏移的数字调制突发信号的最大似然时序恢复

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In this paper we investigate the problem of timing synchronization for a linearly modulated burst transmission scheme. It has been assumed that there is a linear variation in symbols' timing offset, which is caused by sampling frequency offset. Moreover, passing through an Additive White Gaussian Noise (AWGN) channel, corrupts the received burst signal and exerts a fixed timing offset to the transmitted sequence. Unlike classical techniques that the timing offset is assumed to vary slowly with time and, therefore, it is considered as a constant parameter over the entire burst, the more challenging problem is addressed in this contribution where timing offset variation from symbol to symbol is not negligible. A unified gradient-based optimization algorithm to estimate both the sampling frequency and delay offset is presented that iteratively converge to the Maximum Likelihood (ML) estimation. Bit Error Rate (BER) Simulation results are derived and compared with perfect synchronization. The results confirm the system's efficiency.
机译:在本文中,我们研究了线性调制突发传输方案的定时同步问题。假设符号的定时偏移存在线性变化,这是由采样频率偏移引起的。此外,通过加性高斯白噪声(AWGN)通道,会破坏接收到的突发信号,并对发送的序列施加固定的时序偏移。与经典技术不同,时序偏移被假定为随时间缓慢变化,因此,它被认为是整个脉冲串中的一个恒定参数,在这一贡献中解决了更具挑战性的问题,即符号之间符号之间的时序偏移变化不可忽略。提出了一种用于估计采样频率和延迟偏移的基于梯度的统一优化算法,该算法迭代收敛于最大似然(ML)估计。得出误码率(BER)仿真结果,并将其与完美同步进行比较。结果证实了系统的效率。

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