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arXiv 1406.7124cs.ITmath.IT
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基于循环特征的UWB信号检测

UWB Signal Detection by Cyclic Features

Yiyin Wang, Xiaoli Ma, Cailian Chen, Xinping Guan

摘要:

超宽带(UWB)脉冲无线电(IR)系统以低发射功率、低检测概率以及与窄带(NB)系统的重叠而众所周知。这些优点实际上使得UWB信号检测具有挑战性,因为几种高功率无线通信系统与UWB信号共存。在文献中,循环特征被用于信号检测。然而,传统的基于循环特征的检测器的高计算复杂性给接收机带来负担。在本文中,我们提出了计算效率的检测器,使用特定的UWB信号的循环功能。揭示了循环特性与系统参数之间的封闭关系。然后,基于估计的循环自相关函数(CAF),提出了一些恒虚警检测器。与现有的检测器相比,所提出的检测器具有较低的复杂度。大量的仿真结果表明,所提出的检测器实现了良好的平衡之间的检测性能和计算复杂性在各种情况下,如多径环境,有色噪声,NB干扰。

英文摘要:

Ultra-wideband (UWB) impulse radio (IR) systems are well known for low transmission power, low probability of detection, and overlaying with narrowband (NB) systems. These merits in fact make UWB signal detection challenging, since several high-power wireless communication systems coexist with UWB signals. In the literature, cyclic features are exploited for signal detection. However, the high computational complexity of conventional cyclic feature based detectors burdens the receivers. In this paper, we propose computationally efficient detectors using the specific cyclic features of UWB signals. The closed-form relationships between the cyclic features and the system parameters are revealed. Then, some constant false alarm rate detectors are proposed based on the estimated cyclic autocorrelation functions (CAFs). The proposed detectors have low complexities compared to the existing ones. Extensive simulation results indicate that the proposed detectors achieve a good balance between the detection performance and the computational complexity in various scenarios, such as multipath environments, colored noise, and NB interferences.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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