A Kernel-Based QAM Symbol Error Probability Estimation Technique

Pasteur Poda, S. Saoudi
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引用次数: 1

Abstract

Kernel techniques for efficient error probability estimation have demonstrated good performance in Bit Error Probability (BEP) estimation under a diversity of simulation frameworks. However, the transmission schemes of contemporary and emerging communication systems are more and more complex so that it is questionable if the Symbol Error Probability (SEP) estimate can be anyway derived from the BEP estimate. In this paper, we investigate for a direct way to efficiently estimate the SEP based on the kernel technique. We focus on the ubiquitous Quadrature Amplitude Modulation (QAM) systems and design a Gaussian kernel-based estimator. Simulation results, involving 4-QAM and 16-QAM symbols transmissions over the additive white Gaussian noise channel and over a frequency-selective channel, show that the proposed estimator can perform efficient, reliable and accurate SEP estimations.
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一种基于核的QAM符号误差概率估计技术
有效误码率估计的核技术在多种仿真框架下的误码率估计中表现出良好的性能。然而,由于现代和新兴通信系统的传输方案越来越复杂,因此能否从误码概率估计中得到误码概率估计是一个值得怀疑的问题。在本文中,我们研究了一种基于核技术的有效估计SEP的直接方法。针对普遍存在的正交调幅(QAM)系统,设计了一个基于高斯核的估计器。在加性高斯白噪声信道和频率选择信道上传输4-QAM和16-QAM信号的仿真结果表明,该估计器可以实现高效、可靠和准确的SEP估计。
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