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Direct path detection algorithm in multiple input single output configuration for transport applications

机译:用于运输应用的多输入单输出配置中的直接路径检测算法

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摘要

This paper introduces a novel technique that exploits cross-correlation properties of near-orthogonal pseudonoise (PN) codes to estimate the time of arrival of the direct path signal for Multiple Input Single Output (MISO) applications. Indeed, multipath are a source of error in the time measurement systems. These errors are more significant when the direct path is not the strongest and it is not detected. Transport domain is one of the environment which suffers of mulLtipath effect. The accuracy of the information sent must not suffer from any ambiguity. Therefore find reliable techniques to detect arrival time of signals is vital. Some algorithms proposed to solve this problem use parameters based on complex probabilistic function to estimate time of arrival of the direct path. The most one is General Maximum-Likelihood (GML) algorithm as detector in Ultra Wide Band (UWB) propagation multipath which targets on Single Input and Single Output (SISO) applications. This proposed method has been tested with computer simulations in AWGN and IEEE.802.15.4a indoor channels for low and high Signal to Noise Ratio (SNR). The obtained results show, on one hand, that direct path estimation is function of attenuation factor, and on the other hand, proposed algorithm makes direct path estimation well for MISO configuration accurately.
机译:本文介绍了一种新技术,该技术利用近正交伪噪声(PN)码的互相关特性来估计多路输入单输出(MISO)应用的直接路径信号的到达时间。实际上,多径是时间测量系统中的错误来源。当直接路径不是最强路径且未被检测到时,这些错误会更加严重。传输域是遭受多路径效应的环境之一。所发送信息的准确性不得有任何歧义。因此,找到可靠的技术来检测信号的到达时间至关重要。为解决该问题而提出的一些算法使用基于复杂概率函数的参数来估计直接路径的到达时间。最大的一种是通用最大似然(GML)算法,作为针对超宽带(UWB)传播多路径的检测器,该算法针对单输入和单输出(SISO)应用。在AWGN和IEEE.802.15.4a室内信道中,针对低和高信噪比(SNR)的计算机仿真测试了此提议的方法。所得结果表明,一方面,直接路径估计是衰减因子的函数,另一方面,所提出的算法使MISO配置的直接路径估计准确无误。

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