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Precoding Normalized Differential Spatial Modulation with Non-Constant Modulus Constellations

机译:具有非恒定模星座图的预编码归一化差分空间调制

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Differential spatial modulation (DSM) is a novel multiple-input-multiple-output (MIMO) transmission technology that uses the transmit antenna index matrices to carry part of the information in non-coherent communication scenarios. However, when high-order modulation should be used for spectral efficiency considerations, the conventional use of constant modulus Phase Shift Keying (PSK) constellations in DSM would result in significant performance loss, whereas using non-constant modulus constellations such as Quadrature Amplitude Modulation (QAM) in DSM is very challenging because the peak signal power may grow without bound through the differential iterative processing. In this work, a generalized transmission scheme that uses non-constant modulus constellations for DSM signaling is investigated. By normalizing the power of all symbols in the previous transmit matrix when performing differential transmission, the Precoding Normalized DSM (PN-DSM) scheme which can adopt non-constant modulus constellations is proposed. In addition to the legacy QAM, another two non-constant modulus constellations in the literature, Amplitude Phase Shift Keying (APSK) and star-QAM, are considered for PN-DSM transmissions. It is revealed by numerical studies that, compared with the legacy QAM, APSK and star-QAM are more robust to the error propagation issue of the proposed PN-DSM scheme. In addition, because of the increased minimum distance in the constellation, the star-QAM slightly outperforms the APSK in terms of the average error rate performance.
机译:差分空间调制(DSM)是一种新颖的多输入多输出(MIMO)传输技术,该技术在非相干通信场景中使用发射天线索引矩阵来承载部分信息。但是,当应将高阶调制用于频谱效率考虑时,DSM中常规使用恒定模数相移键控(PSK)星座图会导致明显的性能损失,而使用非恒定模数星座图,例如正交幅度调制( DSM中的QAM)非常具有挑战性,因为峰值信号功率可能会通过差分迭代处理不受限制地增长。在这项工作中,研究了一种将非恒定模数星座用于DSM信令的通用传输方案。通过在执行差分传输时对先前传输矩阵中所有符号的功率进行归一化,提出了可以采用非恒定模数星座的预编码归一化DSM(PN-DSM)方案。除了传统的QAM,在文献中还考虑了PN-DSM传输中的两个非恒定模数星座,幅相移键控(APSK)和星形QAM。数值研究表明,与传统的QAM相比,APSK和star-QAM对所提出的PN-DSM方案的错误传播问题更加健壮。另外,由于星座图中最小距离的增加,在平均错误率性能方面,星形QAM略胜过APSK。

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