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Author

A. Jabeena

Bio: A. Jabeena is an academic researcher. The author has contributed to research in topics: Communications system & Spread spectrum. The author has an hindex of 1, co-authored 1 publications receiving 2 citations.

Papers
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Journal ArticleDOI
TL;DR: The interference suppression capability of spread-spectrum systems is shown to be enhanced by optical transform domain processing, and applications to fiber optics, laser radar, free space optical communications, and other systems are discussed.
Abstract: Method for applying spread-spectrum techniques to optical communication is presented. The interference suppression capability of spread-spectrum systems is shown to be enhanced by optical transform domain processing.Effects of jammer in DSSS communication system are demonstrated in thispaper.Several possible implementations of this system are suggested, and applications to fiber optics, laser radar, free space optical communications, and other systems are discussed.

2 citations


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3 citations

Journal ArticleDOI
TL;DR: A novel approach has been developed by using Matched Filters to perform filtration of the signals so that the SNR of the system can be more efficient and effective and overcome a disadvantage of traditional work.
Abstract: Cognitive radio is one of the communication mean that resolves the issue related to inefficient utilization of spectrum by facilitating the secondary user to utilize the unused licensed bands. To perform more improvisations in cognitive radio the concept of spread spectrum has been developed which sense the spectrum and detect the primary user efficiently, In this the specific amount of spectrum is allotted to the primary users and no other users have authority to utilize this band. In this form of communication the carrier signals can also get affected by noise or narrow bandwidth. To resolve the noise related issue various modulation and filtering techniques have been developed in last decades. In this study a novel approach has been developed by using Matched Filters to perform filtration of the signals so that the SNR of the system can be more efficient and effective. The proposed work also overcome a disadvantage of traditional work by using the concept of double threshold value to enhance the detection probability of the system. The performance of the proposed work is evaluated in the term of SNR and detection probability. The result section renders the comparison of proposed work with conventional work and proves that the proposal outnumbered the traditional spread spectrum sensing mechanisms. Keywords—Cognitive Radio, Spread Spectrum Sensing, Filtration, Noise, Matched Filters, SNR.

2 citations