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Content Provider | IET Digital Library |
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Author | Sabahi, Mohamad Farzan Masoumzadeh, Maliheh Forouzan, Amir Reza |
Abstract | The authors study the power spectrum density (PSD) estimation of wideband wide-sense stationary (WSS) signals with sub-Nyquist sampling rate. Owing to the large bandwidth, Nyquist rate sampling of such signals needs very high rate analogue-to-digital converters. It is important to note that PSD estimation does not necessarily require reconstruction of the original signal. Indeed, the power spectrum can be directly obtained from sub-Nyquist samples. In this study, a new method for reconstructing the power spectrum in the frequency domain for WSS signals is presented. The main idea is to divide the whole spectrum into N equal-length segments and calculate the average PSD in each segment using a frequency-domain representation of sub-Nyquist samples. In addition, the capability of the proposed method, as a detector of spectrum holes, is studied using receiver operating characteristic (ROC) curves. Then, the analysis of false alarm probability is provided. Simulation results for the additive white Gaussian noise channel and the slowly fading frequency selective channel show that the proposed method considerably outperforms available techniques. |
Starting Page | 1655 |
Ending Page | 1664 |
Page Count | 10 |
ISSN | 17518628 |
Volume Number | 10 |
e-ISSN | 17518636 |
Issue Number | Issue 13, Sep (2016) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-com/10/13 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-com.2015.0718 |
Journal | IET Communications |
Publisher Date | 2016-09-01 |
Access Restriction | Open |
Rights Holder | © The Institution of Engineering and Technology |
Subject Keyword | Additive White Gaussian Noise Channel Analogue-to-digital Converter AWGN Channel Compressed Sensing Fading Frequency Selective Channel False Alarm Probability Analysis Frequency Domain Analysis Frequency-domain Representation Frequency-domain Wideband Compressive Spectrum Sensing Mathematical Analysis Power Spectrum Density Estimation Power Spectrum Reconstruction Probability PSD Estimation Radio Link And Equipment Radio Spectrum Management Receiver Operating Characteristic Curves Signal Detection Signal Reconstruction Signal Representation Signal Sampling Spectrum Hole Detector Statistics Sub-Nyquist Sampling Rate Wideband Wide-sense Stationary Signal WSS Signal |
Content Type | Text |
Resource Type | Article |
Subject | Electrical and Electronic Engineering Computer Science Applications |
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