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New Blind Block Synchronization for Transceivers Using Redundant Precoders

机译:使用冗余预编码器的收发器新盲块同步

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摘要

This paper studies the blind block synchronization problem in block transmission systems using linear redundant precoders (LRP). Two commonly used LRP systems, namely, zero padding (ZP) and cyclic prefix (CP) systems, are considered in this paper. In particular, the block synchronization problem in CP systems is a broader version of timing synchronization problem in the popular orthogonal frequency division multiplexing (OFDM) systems. The proposed algorithms exploit the rank deficiency property of the matrix composed of received blocks when the block synchronization is perfect and use a parameter called repetition index which can be chosen as any positive integer. Theoretical results suggest advantages in blind block synchronization performances when using a large repetition index. Furthermore, unlike previously reported algorithms, which require a large amount of received data, the proposed methods, with properly chosen repetition indices, guarantee correct block synchronization in absence of noise using only two received blocks in ZP systems and three in CP systems. Computer simulations are conducted to evaluate the performances of the proposed algorithms and compare them with previously reported algorithms. Simulation results not only verify the capability of the proposed algorithms to work with limited received data but also show significant improvements in the block synchronization error rate performance of the proposed algorithms over previously reported algorithms.
机译:本文研究了使用线性冗余预编码器(LRP)的块传输系统中的盲块同步问题。本文考虑了两种常用的LRP系统,即零填充(ZP)和循环前缀(CP)系统。特别是,CP系统中的块同步问题是流行的正交频分复用(OFDM)系统中时序同步问题的较宽版本。当块同步完美时,所提出的算法利用由接收块组成的矩阵的秩不足性质,并使用称为重复索引的参数,该参数可以选择为任何正整数。理论结果表明,使用大重复索引时,盲块同步性能具有优势。此外,与先前报告的算法需要大量接收数据不同,所提出的方法具有正确选择的重复索引,在ZP系统中仅使用两个接收的块,而在CP系统中使用三个接收的块,可以保证在没有噪声的情况下实现正确的块同步。进行计算机仿真以评估所提出算法的性能,并将其与先前报告的算法进行比较。仿真结果不仅验证了所提出算法在有限的接收数据下工作的能力,而且还表明,与先前报道的算法相比,所提出算法的块同步误码率性能有了显着提高。

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  • 年度 2008
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  • 正文语种 {"code":"en","name":"English","id":9}
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