Modified Orthogonal Matching Pursuit Algorithm for Cognitive Radio Wideband Spectrum Sensing

Details Modified Orthogonal Matching Pursuit Algorithm for Cognitive Radio Wideband Spectrum Sensing Modified Orthogonal Matching Pursuit Algorithm for Cognitive Radio Wideband Spectrum Sensing

2011-02-14

arxiv.org/abs/1102.2881v1

Computer Science

Information Theory

Scientific paper

Sampling rate is the bottleneck for spectrum sensing over multi-GHz bandwidth. Recent progress in compressed sensing (CS) initialized several sub-Nyquist rate approaches to overcome the problem. However, efforts to design CS reconstruction algorithms for wideband spectrum sensing are very limited. It is possible to further reduce the sampling rate requirement and improve reconstruction performance via algorithms considering prior knowledge of cognitive radio spectrum usages. In this paper, we group the usages of cognitive radio spectrum into three categories and propose a modified orthogonal matching pursuit (OMP) algorithm for wideband spectrum sensing. Simulation results show that this modified OMP algorithm outperforms two modified basis pursuit de-noising (BPDN) algorithms in terms of reconstruction performance and computation time.

Affiliated with

Also associated with

No associations

Rating

Modified Orthogonal Matching Pursuit Algorithm for Cognitive Radio Wideband Spectrum Sensing does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Modified Orthogonal Matching Pursuit Algorithm for Cognitive Radio Wideband Spectrum Sensing, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Modified Orthogonal Matching Pursuit Algorithm for Cognitive Radio Wideband Spectrum Sensing will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-377383