认知超宽带无线电中的窄带干扰抑制方法

X. Ning, X. Sha, Lin Mei
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引用次数: 2

摘要

研究了认知超宽带(CUWB)无线电系统中一种新的窄带干扰抑制方法。UWB信号和NBI通过分数阶傅里叶变换(FRFT)域滤波器分离,因此可以利用反FRFT得到NBI的估计。仿真结果表明,采用半确定规划(half -definite Programming, SDP)方法设计的超宽带脉冲波形(啁啾函数的加权和)满足美国联邦通信委员会(FCC)规定的发射掩模,并且啁啾函数的使用保证了超宽带脉冲波形的频响时域持续时间很短。因此,通过估计的NBI可以更方便地获得NBI参数(如中心频率、带宽、能量)。通过在NBI频段抑制UWB信号,使UWB信号不会对窄带系统的性能产生不利影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Narrowband interference suppression method in Cognitive Ultra-wide Band Radio
This paper investigates a novel narrowband interference (NBI) suppression method in Cognitive Ultra-wide Band (CUWB) Radio system. UWB signals and NBI are separated by Fractional Fourier Transform (FRFT) domain filters, and therefore an estimation of NBI can be obtained by utilizing inverse FRFT. The simulation results show that the UWB pulse waveform designed by Semi-definite Programming (SDP), which is a weighted sum of chirp functions, meets the emission mask established by the Federal Communications Commission (FCC), and the use of chirp function ensures that the FRFT domain duration of UWB pulse waveform is very short. Therefore the NBI parameters (e.g. center frequency, bandwidth, energy) are more convenient to be obtained by the estimated NBI. The UWB signal will not have a detrimental effect on the performance of the narrowband system by suppressing the UWB signal in the NBI band.
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