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Automatic Identification of Space-Frequency Block Coding for OFDM Systems

机译:OFDM系统空频块编码的自动识别

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摘要

Signal identification has emerged as an enabling technology for intelligent wireless communication systems with applications in military and commercial fields. One of recent trends in this research topic is to propose identification algorithms for multiple antenna (MA) systems with multi-carrier (MC) transmissions. The previously reported investigations are limited to space-time block code (STBC) systems with MC transmissions. However, practical systems include also space-frequency block code (SFBC) schemes with MC transmissions. In this paper, we develop and analyze an SFBC identification algorithm for MA orthogonal frequency-division multiplexing (OFDM) transmission for the first time in the literature. Analytical expressions for the time-domain properties of the Alamouti and spatial multiplexing SFBC-OFDM signals are derived as the basis of the identification process. The proposed algorithm is divided into two steps. The first step estimates the cross-correlation function of pairs of signals received from different antennas, while the second step employs a false-alarm based test for decision making. The proposed algorithm avoids the need for a priori knowledge of the modulation format, channel coefficients, signal-to-noise ratio (SNR) value, and the starting time of OFDM symbols. Simulation results show the ability of the proposed algorithm to provide an acceptable identification performance in the presence of transmission impairments, even at relatively low SNR values. These favorable results are achieved with acceptable computational cost.
机译:信号识别已成为一种智能无线通信系统的使能技术,并已应用于军事和商业领域。该研究主题中的最新趋势之一是提出用于具有多载波(MC)传输的多天线(MA)系统的识别算法。先前报道的研究仅限于具有MC传输的空时分组码(STBC)系统。然而,实际系统还包括具有MC传输的空频分组码(SFBC)方案。在本文中,我们首次开发并分析了用于MA正交频分复用(OFDM)传输的SFBC识别算法。得出Alamouti和空间多路复用SFBC-OFDM信号的时域特性的解析表达式,作为识别过程的基础。所提出的算法分为两个步骤。第一步估计从不同天线接收的信号对的互相关函数,而第二步则采用基于错误警报的测试进行决策。所提出的算法避免了对调制格式,信道系数,信噪比(SNR)值以及OFDM符号的开始时间的先验知识。仿真结果表明,即使存在相对较低的SNR值,所提出的算法仍能够在存在传输损伤的情况下提供可接受的识别性能。这些令人满意的结果是以可接受的计算成本实现的。

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