Blind source separation and tracking of multiple frequency hopping signals for cognitive radio communications

M. S. Mohammadi, M. Mohammad Taheri

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

2 Citations (Scopus)


In this paper we consider a blind source separation problem in which the number of sources is unknown and all or some of the sources may be networks with frequency hopping spread spectrum capability. We should first find the number of sources and then fairly track each of the detected networks. The extracted information of detected sources are used to update an internal model in the cognitive radio that helps it to predict and avoid frequencies in which active FHSS radios in the environment are simultaneously transmitting. In the proposed method, there is no need to have several antennas for DOA estimation and this will significantly reduce implementation cost and complexity of the algorithm. Due to real time nature of the problem, the simple structure of this method in comparison with other existing algorithms will make it preferable. We propose a method based on a probabilistic classifier to separate detected networks in sequential frames. The efficiency of the proposed method is demonstrated by simulation results.

Original languageEnglish
Title of host publication2008 1st IFIP Wireless Days, WD 2008
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages5
ISBN (Print)9781424428298
Publication statusPublished - 2008
Externally publishedYes
Event2008 1st IFIP Wireless Days, WD 2008 - Dubai, United Arab Emirates
Duration: 24 Nov 200827 Nov 2008


Other2008 1st IFIP Wireless Days, WD 2008
CountryUnited Arab Emirates

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