Name
Abstract | ||
|---|---|---|
Multiband signal is a typical signal in the realm of modern communication, whose spectrum is the sum of several narrow band signals in frequency domain. Modulated Wideband Converter (MWC) system, which is based on the emerging theory of Compressed Sensing (CS), can sample multiband signals at a sub-Nyquist rate without carrier frequencies as a precondition. In this paper, a novel recovery strategy for MWC is proposed, exploiting Simultaneous Smoothed ℓ0 Norm (SL0), to reconstruct original signal from sub-Nyquist sampling data. This method approximates ℓ0 norm using a continuous function, which can improve the reconstruction accuracy. Simulation results demonstrate that the proposed algorithm is superior to the original Simultaneous Orthogonal Matching Pursuit (SOMP) algorithm. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/I2MTC.2013.6555392 | Instrumentation and Measurement Technology Conference |
Keywords | Field | DocType |
sub-nyquist sampling data,multiband signals,simultaneous sl0,somp algorithm,mwc system,modulated wideband converter system,multiband signal,reconstruction accuracy,compressed sensing,simultaneous orthogonal matching pursuit algorithm,modulated wideband converter,simultaneous smoothed ℓ0 norm,frequency-domain analysis,spectral analysis,continuous function,alternative recovery algorithm,carrier frequency,frequency domain,signal reconstruction,recovery strategy,sub-nyquist rate,narrow band signals,sl0,minimization,frequency domain analysis,simulation,frequency modulation | Frequency domain,Matching pursuit,Continuous function,Wideband,Algorithm,Precondition,Electronic engineering,Sampling (statistics),Compressed sensing,Mathematics,Signal reconstruction | Conference |
Volume | Issue | ISSN |
null | null | 1091-5281 |
ISBN | Citations | PageRank |
978-1-4673-4621-4 | 0 | 0.34 |
References | Authors | |
7 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Peng Xi-yuan | 1 | 82 | 23.63 |
| Miao Zhang | 2 | 0 | 1.69 |
| Jingchao Zhang | 3 | 15 | 4.31 |
| Hongpeng Li | 4 | 0 | 0.34 |
| Ning Fu | 5 | 15 | 9.20 |
| Liyan Qiao | 6 | 14 | 6.05 |
| Hongwei Xu | 7 | 1 | 2.05 |