Abstract
Cognitive radio is a promising technology for frequency allocation to improve the spectrum utilization efficiency of licensed bands. However, in recent years, the attention of the researchers is fo...
Highlights
Over the years, spectrum resources are becoming more and more expensive; for example, industrial, scientific, and medical (ISM) bands are clutched and busier than ever
The system is configured in three different ways: (1) we placed the binaryphase shift keying (BPSK) signal in SB-1, quadrature-phase shift keying (QPSK) in SB-5, and jamming signal in SB-3; (2) BPSK signal is in SB-1, while jamming signal jumps to SB-5 to jam the QPSK signal; and (3) QPSK signal is in SB-5, while jamming signal jumps to SB-1 to jam the BPSK signal
To reduce the A/D complexity, Compressive sensing (CS) was used for recovering the Nyquist rate samples of the WB signal from sub-Nyquist sampling
Summary
Spectrum resources are becoming more and more expensive; for example, industrial, scientific, and medical (ISM) bands are clutched and busier than ever. Network can be considered sparse in the frequency domain due to low occupancy by the PUs. CS requires non-linear optimization to find an optimal solution through signal estimation, and this could be achieved by means of greedy algorithms such as Matching Pursuit (MP)[13] or Orthogonal Matching Pursuit (OMP).[14] The other solutions in literature are based on the use of Convex Programming as in Basis Pursuit (BP).[15] CFD needs to estimate the SCF of the received wideband (WB) spectrum from sub-Nyquist samples. The measurement matrix, Sc, is collected at receiver and WB is estimated from sub-Nyquist samples using BP After this reconstruction, SCF is computed and a À profile features are extracted for different types of signals. In order to evaluate and compare the overall performance of each architecture, the expression of equation (14) was taken into consideration
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