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引用次数: 10

摘要

区分视距通信和非视距通信的传输状态对无线通信系统具有重要意义。众所周知,对于LOS和NLOS,传输的一些统计特征彼此不同。如果能够尽可能快速和准确地区分LOS和NLOS,基于测距的应用和自适应无线电系统(如认知无线电)可以利用这些信息显著提高其性能。在本研究中,提出了一种基于各路径的自相关特性来区分传输LOS/NLOS状态的相干接收机的数值和计算复杂度低的方法。该方法在无噪声和有噪声条件下分别用正弦和(so)和基于反离散傅立叶变换(IDFT)的仿真模型进行了测试。观察到,即使在相对较低的信噪比(SNR)值下,所提出的方法也能得到良好的结果
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Identification of LOS and NLOS for wireless Transmission
Distinguishing the transmission status of the communication as line-of-sight (LOS) and non-LOS (NLOS) is of great importance for the wireless communication systems. It is known that for LOS and NLOS, some statistical characteristics of the transmission differ from each other. If the distinction between LOS and NLOS can be made as quick and accurate as possible, ranging based applications and adaptive radio systems like cognitive radios can make use of this information to increase their performances significantly. In this study, a numerical and computationally low complex method for coherent receivers is proposed to discriminate the LOS/NLOS status of the transmission depending on the autocorrelation properties of individual paths. The proposed method is tested for both noise-free and noisy conditions with sum-of-sinusoids (SoS) and inverse discrete Fourier transform (IDFT) based simulation models. It is observed that the proposed method gives good results even for relatively low signal-to-noise ratio (SNR) values
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A Full Duplex Multi-channel MAC Protocol for Multi-hop Cognitive Radio Networks OFDM Modulation Classification and Parameters Extraction Identification of LOS and NLOS for wireless Transmission Transmit Power Allocation among PSWF-based Pulse Wavelets in Cognitive UWB Radio Performance of the OFDM-based Transform Domain Communication System in Cognitive Radio contexts
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