Name
Abstract | ||
|---|---|---|
Wideband spectrum sensing for cognitive radio requires high rate analog to digital (A/D) converters whose power consumption is proportional to the sampling rate. In this article, we propose to use sub-Nyquist non-uniform sampling for spectrum sensing to reduce the power consumption. Since the received signal samples are correlated in the time domain, we estimate the missing samples by using the expectation-maximization (EM) algorithm. It is shown that the combined sub-Nyquist non-uniform sampling and EM algorithm consume much less power than A/D converter at the Nyquist rate making the proposed algorithm a viable low-power solution for spectrum sensing. Moreover, it is shown by simulations that the proposed sub-Nyquist rate non-uniform sampler is accurate enough to detect the edges of the estimated power spectral density. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1186/1687-1499-2012-281 | EURASIP J. Wireless Comm. and Networking |
Keywords | Field | DocType |
Power spectral density (PSD) estimation, Cognitive radio (CR), Spectrum sensing, Compressive sensing (CS), Welch’s method, Power consumption, Analog to digital (A/D) converter | Wideband,Telecommunications,Computer science,Sampling (signal processing),Real-time computing,Welch's method,Electronic engineering,Spectral density,Sampling (statistics),Nyquist rate,Compressed sensing,Cognitive radio | Journal |
Volume | Issue | ISSN |
2012 | 1 | 1687-1499 |
Citations | PageRank | References |
13 | 0.36 | 9 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yasin Miar | 1 | 15 | 1.70 |
| Claude D'Amours | 2 | 44 | 12.78 |
| Tyseer Aboulnasr | 3 | 157 | 19.88 |