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Mitigation of Multipath Effects in Broadband Wireless Systems using Quantized State Adaptive Equalization Methods

机译:使用量化状态自适应均衡方法缓解宽带无线系统中的多径效应

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Broadband wireless systems are currently in a rapid evolutionary phase in terms of development of various technologies, development of various applications, deployment of various services and generation of many important standards in the field. Among the many factors to be considered in the design of these systems, the key factor has been the bandwidth utilization efficiency offered by Orthogonal Frequency Division Multiple Accessing (OFDM) techniques. However, in severe multipath environments, which may occur, for example, in indoor environments especially for the high-speed data links, the proper operation of the OFDM link requires techniques such as adaptive equalization to overcome the intersymbol interference caused by multipath propagation and channel fading. This paper presents simulation results on the performance of various equalizer algorithms when applied to the OFDM link operating in such a severe multipath environment. The algorithms that are compared include the recursive least squares (RLS) and quantized state (QS) algorithms. While the RLS algorithms are more familiar to the engineers in this field, a set of a number of algorithms termed QS algorithms have also been invented earlier by the first author of this paper and have certain advantages in terms of computational efficiency and numerical robustness. A number of simulation examples are presented showing the bit error rates achieved with the adaptive equalizer algorithms.
机译:宽带无线系统目前在各种技术的开发方面,各种应用的发展,各种服务的部署以及该领域的许多重要标准的发展。在这些系统的设计中考虑的许多因素中,关键因素是通过正交频分多访问(OFDM)技术提供的带宽利用效率。然而,在严重的多径环境中,例如,可能发生在室内环境中,特别是对于高速数据链路,OFDM链路的正确操作需要诸如自适应均衡的技术,以克服由多径传播和频道引起的偶尔互动干扰衰退。本文介绍了在应用于在这种严重的多径环境中运行的OFDM链路时各种均衡器算法的性能的模拟结果。比较的算法包括递归最小二乘(RLS)和量化状态(QS)算法。虽然RLS算法是在这一领域的工程师们更熟悉,一组数的算法称为QS算法也得到了本文的第一作者更早发明出来的,并在计算效率和数值稳定性方面具有一定的优势。提出了许多模拟示例,示出了通过自适应均衡器算法实现的误码率。

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