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首页> 外文会议>International Conference on Information, Communications and Signal Processing >A lower-complexity iterative trellis-based factor search algorithm and blind detector for PTS-based OFDM systems
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A lower-complexity iterative trellis-based factor search algorithm and blind detector for PTS-based OFDM systems

机译：基于次复杂性迭代网格的基于PTS的基于迭代网格的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：已知部分发送序列（PTS）是减轻正交频分复用（OFDM）系统中的高峰平均功率比（PAPR）问题的有效技术。 PTS的一个主要缺点在于搜索最佳加权因子（相位旋转）向量的高复杂性。在本文中，提出了一种基于格子的迭代算法来选择适当的加权因子矢量。与先前提出的非迭代网格的算法相比，所提出的迭代算法可以实现具有较低搜索复杂性的类似PAPR性能。由于未在研究的OFDM系统的接收器中发送显式侧面信息，因此我们使用最初用于非组织接收器的基于相位量化的接收器，以恢复发射数据。使用这种盲接收器，与先前提出的盲和半盲接收器相比，我们可以实现具有较低复杂性的可比误差性能。

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