Wideband Temporal Spectrum Sensing Using Cepstral Features

Wideband Temporal Spectrum Sensing Using Cepstral Features
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使用倒谱特征的宽带时间频谱传感

DOI:
10.1109/wowmom.2019.8793002
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发表时间:
2019
期刊:
Mobile and Multimedia Networks" (WoWMoM
影响因子:
--
通讯作者:
Ephraim, Yariv
Ephraim, Yariv
中科院分区:
--
文献类型:
--
作者:
Cheng, Hanke;Mark, Brian L.;Ephraim, Yariv

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频谱感测使得认知无线电网络中的次用户能够机会性地接入主用户留下的空闲频谱的部分。在宽频谱带上在时间和频率上联合跟踪频谱空洞是一项具有挑战性的任务。在宽带时间感测的一种方法中,频谱带被划分为固定带宽的窄带子信道,然后使用平均功率或能量测量作为观测数据经由隐马尔可夫建模来表征窄带子信道。相邻的、相关的子信道被递归地聚合成对应于主用户信号的可变带宽的信道。因此,通过识别频谱带中的主用户信道,宽带时间感测被转换成多频带感测场景。然而,通常不能使用用于频谱感测的能量检测器前端来检测多频带设置中的主用户信道的配置的未来变化。我们建议使用倒谱特征向量来检测主用户信道的频谱包络的变化。我们的数值结果表明,基于倒谱的频谱包络检测器在中高信噪比条件下表现良好。
Spectrum sensing enables secondary users in a cognitive radio network to opportunistically access portions of the spectrum left idle by primary users. Tracking spectrum holes jointly in time and frequency over a wide spectrum band is a challenging task. In one approach to wideband temporal sensing, the spectrum band is partitioned into narrowband subchannels of fixed bandwidth, which are then characterized via hidden Markov modeling using average power or energy measurements as observation data. Adjacent, correlated subchannels are recursively aggregated into channels of variable bandwidths, corresponding to the primary user signals. Thus, wideband temporal sensing is transformed into a multiband sensing scenario by identifying the primary user channels in the spectrum band. However, future changes in the configuration of the primary user channels in the multiband setup cannot generally be detected using an energy detector front end for spectrum sensing. We propose the use of a cepstral feature vector to detect changes in the spectrum envelope of a primary user channel. Our numerical results show that the cepstrum-based spectrum envelope detector performs well under moderate to high signal-to-noise ratio conditions.
用于检测延迟发射地震信号的倒谱 F 统计量
DOI: --
发表时间: 1998
期刊:
影响因子: --
作者:
R. Shumway;D. Baumgardt;Z. Der
通讯作者: Z. Der
DOI: 10.1109/tcomm.2017.2749578
发表时间: 2018
影响因子: 8.3
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