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A lower-complexity iterative trellis-based factor search algorithm and blind detector for PTS-based OFDM systems

机译:基于PTS的OFDM系统的低复杂度迭代网格因子搜索算法和盲检测器

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摘要

It is known that partial transmit sequence (PTS) is an effective technique to mitigate the problem of high peak-to-average power ratio (PAPR) in an orthogonal frequency-division multiplexing (OFDM) system. One of the major drawbacks of PTS lies in the high complexity for searching the optimal weighting-factor (phase-rotation) vector. In this paper, a trellis-based iterative algorithm is proposed to choose an appropriate weighting-factor vector. Compared to a previously-proposed non-iterative trellis-based algorithm, the proposed iterative algorithm can achieve a comparable PAPR performance with a lower search complexity. Since explicit side information is not transmitted to the receiver of the OFDM system under investigation, we use a phase-quantization-based receiver, which was originally used in noncoherent receivers, to recover the transmit data. Using such a blind receiver, we can achieve a comparable error performance with a lower complexity compared to previously-proposed blind and semi-blind receivers.
机译:众所周知,在正交频分复用(OFDM)系统中,部分发送序列(PTS)是缓解高峰均功率比(PAPR)问题的有效技术。 PTS的主要缺点之一是搜索最佳加权因子(相位旋转)矢量的复杂性很高。本文提出了一种基于网格的迭代算法来选择合适的加权因子向量。与先前提出的基于非迭代网格的算法相比,所提出的迭代算法可以以较低的搜索复杂度实现可比的PAPR性能。由于未将明确的辅助信息发送到正在研究的OFDM系统的接收器,因此我们使用最初用于非相干接收器中的基于相位量化的接收器来恢复发送数据。与先前提出的盲和半盲接收机相比,使用这种盲接收机,我们可以以较低的复杂度获得可比的错误性能。

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