存在相位抖动和高斯噪声时二维信号星座的选择

G. Foschini, R. Gitlin, S. Weinstein
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引用次数: 92

摘要

一个长期存在的通信问题是将二进制数据块有效地编码成一对同相和正交分量。这种调制技术可以看作是在二维空间中放置离散数量的信号点。正交调幅(QAM)和幅相组合调制(AM-PM)是这种信号格式的两个熟悉的例子。在峰值或平均功率约束下,对信号坐标进行选择,使误差概率最小。在高速数据通信系统的设计中,由于信号点的密集填充降低了对高斯噪声的余量,因此这一问题具有重要的实际意义。相位抖动会干扰传输信号点的角度位置,进一步降低误码率。以前的研究已经考虑了单独存在高斯噪声和在特定结构框架内的信号评估和设计问题,例如传统的幅度和相位调制。我们提出了在存在高斯噪声和载波相位抖动的情况下评估和优化信号星座选择的技术。比较了一些目前使用或建议的信号星座的性能。评估和优化是基于给定发射信号的接收信号概率密度的摄动分析。用拉普拉斯渐近公式进行计算。信号空间离散化将峰值功率约束下的信号优化设计问题简化为一个易于处理的数学规划问题。我们的研究结果表明,仅在高斯噪声中,通过使用正交调幅代替传统的幅度和相位调制,可以实现高达2 dB的信噪比改善。提出了一种新的调制格式,它在高斯噪声中表现良好,并且对适度的相位抖动不敏感。
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On the selection of a two-dimensional signal constellation in the presence of phase jitter and Gaussian noise
A long-standing communications problem is the efficient coding of a block of binary data into a pair of in-phase and quadrature components. This modulation technique may be regarded as the placing of a discrete number of signal points in two dimensions. Quadrature amplitude modulation (QAM) and combined amplitude and phase modulation (AM-PM) are two familiar examples of this signaling format. Subject to a peak or average power constraint, the selection of the signal coordinates is done so as to minimize the probability of error. In the design of high-speed data communication systems this problem becomes one of great practical significance since the dense packing of signal points reduces the margin against Gaussian noise. Phase jitter, which tends to perturb the angular location of the transmitted signal point, further degrades the error rate. Previous investigations have considered the signal evaluation and design problem in the presence of Gaussian noise alone and within the framework of a particular structure, such as conventional amplitude and phase modulation. We present techniques to evaluate and optimize the choice of a signal constellation in the presence of both Gaussian noise and carrier phase jitter. The performance of a number of currently used or proposed signal constellations are compared. The evaluation and the optimization are based upon a perturbation analysis of the probability density of the received signal given the transmitted signal. Laplace's asymptotic formula is used for the evaluation. Discretizing the signal space reduces the optimal signal design problem under a peak power constraint to a tractable mathematical programming problem. Our results indicate that in Gaussian noise alone an improvement in signal-to-noise ratio of as much as 2 dB may be realized by using quadrature amplitude modulation instead of conventional amplitude and phase modulation. New modulation formats are proposed which perform very well in Gaussian noise and additionally are quite insensitive to moderate amounts of phase jitter.
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