Performance analysis of HFDI computing algorithm in intelligent networks. Issue 4 (4th July 2019)

• Record Type: Journal Article
• Authors: Budati, Anil Kumar; Polipalli, Trinatha Rao
• Is Part Of: International journal of computers and applications. Volume 41:Issue 4(2019)
• Page Start: 255
• Page End: 261
• Publication Date: 2019-07-04
• Subjects: Cognitive radio -- energy detector -- matched filter -- cyclostationary feature detector -- hybrid matched filter; Computers -- Periodicals; Computer software -- Periodicals; Computer networks -- Periodicals; Multimedia systems -- Periodicals; Internet -- Periodicals; World Wide Web -- Periodicals; Minicomputers -- Periodicals; Microcomputers -- Periodicals; 004.05
• DOI: 10.1080/1206212X.2017.1396424
• Languages: English
• ISSNs: 1206-212X

Abstract

ABSTRACT: Cognitive radio (CR) system plays a major role in spectrum sensing. In cognitive radio, the spectrum slot is assigned to user intellectually according to a prescribed algorithm. Different researchers have proposed different spectrum sensing methods to plot the receiver operating characteristics (ROCs), probability of detection ( P D ), and probability of false alarm ( P fa ). Apparently, there is less focus on which samples of P fa are majorly affected. A method of Hybrid Filter Detection with Inverse covariance matrix (HFDI) is proposed to identify the P fa affected samples and to minimize the P fa with maximize of P D . The proposed HFDI method uses generalized log likelihood ratio test (GLRT) to measure the P fa and P D . The measured P fa and P D are compared with the NP observer approach, HMF, and Divya Joshi-proposed methods. Additionally, a parameter probability of missed detection ( P md ) is measured between the proposed HFDI and NP observer approach. The proposed HFDI method outperforms Divya Joshi-proposed method by 13% in terms of P D, and the P fa is also improved by 7.5%. ROC is a parameter used to analyze the performance between P D and P fa and is compared with the existing compressed sensing method.