An Analysis of the Performances of Compressive Sensing Algorithms OMP and KLT for Cognitive Radio

Research Area: Volume 5,Issue 5, Sept. 2016 Year: 2016
Type of Publication: Article Keywords: CS, DWT, KLT, Measurement Matrix, Measurement Vector, OMP, Signal Detection, Signal Recovery, Sparsity, Sparsity Order
Authors:
  • Charushila Axay Patel
  • Dr. C. H. Vithalani
  • Dr. Preetida Jani
Journal: IJEIR Volume: 5
Number: 5 Pages: 308-330
Month: September
ISSN: 2277-5668
Abstract:
This paper provides a comparison between two widely used algorithms in the field of Compressive Sensing (CS), namely Orthogonal Matching Pursuit (OMP), and, Karhunen-Loève Transforms (KLT). As CS is one of the most essential techniques used by a Cognitive Radio (CR) for efficient usage of spectrum, it is required to be optimally simple, and, still, fast in working. The complexity here refers to the No. of computations a CR is required to make while using such algorithms and, this also, will in turn affect the effective requirement of hardware and power consumption. In this work, by means of simulations, we have tried to get an insight of working both this algorithms, OMP and KLT; and carried out the comparison between the two regarding their performances for the same experimental setup. We have discussed and evaluated their performances in terms of time, exact reconstruction of signal, percentage of error, and, complexity in terms of big-O, and, the probability of missed detection and probability of false alarm. From the simulation results we find that the OMP is quite promising CS tool as compared with the KLT in all these different aspects. As the CS is applicable to wideband spectrum sensing for CR and for varying sparsity environments, we are making comparison between the two that how the performance varies with different values of sparsity in frequency domain. We will carry out our further work on the bases of this work for modifying the OMP for CS.

Indexed By:

Our Journals

IJECCE
International Journal of Electronics Communication and Computer Engineering
ISSN(Online): 2249 - 071X
ISSN (Print) : 2278 – 4209
www.ijecce.org
Submissions open
IJAIR
International Journal of Agriculture Innovations and Research
ISSN(Online) : 2319 – 1473
www.ijair.org
Submissions open
IJISM
International Journal of Innovation in Science and Mathematics
ISSN : 2347 – 9051
www.ijism.org
Submissions open
IJEIR
International Journal of Engineering Innovations and Research
ISSN(Online) : 2277 – 5668
www.ijeir.org
Submissions are open.

IJAIM
International Journal of Artificial Intelligence and Mechatronics
ISSN(Online) : 2320 – 5121
www.ijaim.org
Submissions open
IJRAS
International Journal of Research in Agricultural Sciences
ISSN(Online) : 2348 – 3997
www.ijras.org
Submissions open

Submission Open

"Submissions Open For Volume 6,Issue 6,Nov.-Dec.,2017"

Click here to submit article.........

Impact Factor (SJIF) : 3.121

UIF : 1.1094 , ICV = 75.71

Latest Updates

Submissions open

Submissions open

For

Volume 6,Issue 6,

Nov.-Dec.,2017


 
Published Papers

Accepted Papers are published in

1. Recently Published Issue.

"Submissions Open For Volume 6,Issue 6,Nov.-Dec.,2017"

Impact Factor (SJIF) : 3.121


 

Dear Authors

Once author receives paper id, please always mention it in subject of your mail.

Message for Authors