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首页> 外文期刊>Signal, Image and Video Processing >Iterative detection of turbo-coded offset QPSK in the presence of frequency and clock offsets and AWGN - Springer
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Iterative detection of turbo-coded offset QPSK in the presence of frequency and clock offsets and AWGN - Springer

机译:在存在频率和时钟偏移以及AWGN的情况下迭代检测Turbo编码的偏移QPSK-Springer

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摘要

The key contribution of this paper is to develop transmitter and receiver algorithms in discrete-time for turbo-coded offset QPSK signals. The procedure for simulating a clock offset between the transmitter and receiver is described. Due to the use of up-sampling, matched filtering and a differential correlation approach at the receiver, the time required for detecting the start of frame (SoF) is just around 500 symbols, which is also the length of the preamble. The initial estimate of the SoF and the frequency offset, obtained using the differential correlation approach, is improved using an iterative process. A novel two-step maximum likelihood (ML) frequency offset estimation is proposed, which significantly reduces the complexity over the conventional ML estimation. The decision-directed carrier and timing recovery algorithms use simple first-order IIR filters to track the carrier phase and clock slip. The proposed synchronization and detection techniques perform effectively at an SNR per bit close to 1.5 dB, in the presence of a frequency offset as large as 30% of the symbol-rate and a clock offset of 25 ppm (parts per million). It is shown via simulations that the performance loss with respect to the bare turbo code is only about 0.5 dB, for a preamble length of 500 and a BER of 10−7. The proposed techniques are well suited for software implementation.
机译:本文的主要贡献是为离散编码的QPSK信号开发了离散时间的发送器和接收器算法。描述了模拟发射器和接收器之间的时钟偏移的过程。由于在接收器上使用了上采样,匹配滤波和差分相关方法,因此检测帧开始(SoF)所需的时间大约为500个符号,这也是前同步码的长度。使用迭代相关方法改进了使用差分相关方法获得的SoF和频率偏移的初始估计。提出了一种新颖的两步最大似然(ML)频偏估计,它大大降低了传统ML估计的复杂度。决策导向的载波和定时恢复算法使用简单的一阶IIR滤波器来跟踪载波相位和时钟跳变。在存在高达符号率30%的频率偏移和25 ppm(百万分之几)的时钟偏移的情况下,提出的同步和检测技术可以在接近1.5 dB的每位SNR处有效执行。通过仿真表明,对于前导码长度为500和BER为10-7的情况,相对于裸Turbo码的性能损失仅为约0.5 dB。所提出的技术非常适合软件实现。

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