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Space-time block coding with symbol-wise decoding for polynomial phase modulated signals

机译:多项式相位调制信号的时空块编码和按符号解码

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Polynomial phase modulation (PPM) has been shown to provide improved error rate performance with respect to conventional modulation formats under additive white Gaussian noise and fading channels in single-input single-output (SISO) communication systems. In this paper, we evaluate the performance of systems with two and four transmit antennas using PPM as the modulation format. In both cases we employ full-rate space-time block codes in order to take advantage of the multipath channel. For two transmit antennas, we use the orthogonal space-time block code (OSTBC) proposed by Alamouti and perform symbol-wise decoding by estimating the phase coefficients of the PPM signal using three different methods: maximum-likelihood (ML), sub-optimal ML (S-ML), and the high-order ambiguity function (HAF). In the case of four transmit antennas, we employ the full-rate quasi-OSTBC (QOSTBC) proposed by Jafarkhani. Then, in order to perform low-complexity symbol-wise decoding, we find a decoupling matrix for the Jafarkhani scheme and apply a technique known as quasi-zero forcing (ZF). After that, the PPM signal parameters are estimated just as in the two-antenna case using ML, S-ML, and HAF. We show that the proposed systems using PPM and ML outperform OSTBC and ZF-QOSTBC using M-ary PSK as their modulation format.
机译:在单输入单输出(SISO)通信系统中,在加性白高斯噪声和衰落信道下,多项式相位调制(PPM)相对于传统调制格式已显示出改进的误码率性能。在本文中,我们使用PPM作为调制格式评估具有两个和四个发射天线的系统的性能。在这两种情况下,我们都采用全速率空时分组码,以便利用多径信道。对于两个发射天线,我们使用Alamouti提出的正交空时分组码(OSTBC),并通过使用三种不同的方法估算PPM信号的相位系数来执行逐符号解码:最大似然(ML),次优ML(S-ML)和高阶模糊函数(HAF)。对于四个发射天线,我们采用Jafarkhani提出的全速率准OSTBC(QOSTBC)。然后,为了执行低复杂度的按符号解码,我们找到了Jafarkhani方案的解耦矩阵,并应用了一种称为准零强制(ZF)的技术。此后,就像在使用ML,S-ML和HAF的两天线情况下一样,估计PPM信号参数。我们表明,使用PPM和ML的拟议系统优于使用Mary PSK作为其调制格式的OSTBC和ZF-QOSTBC。

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