Kinerja Spectrum Sensing dengan Metode Matched Filter Detector pada Radio Kognitif

BAYU ANGGA, DWI ARYANTA, NASRULLAH ARMI

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ABSTRAK

Evolusi sistem nirkabel dan teknologi saat ini telah membuat dampak besar pada masyarakat. Namun, disaat yang sama pengelolaan dan pemanfaatan kelangkaan spektrum tidak efisien. Radio kognitif adalah paradigma baru dalam merancang sistem komunikasi nirkabel yang bertujuan untuk meningkatkan pemanfaatan spektrum frekuensi radio (RF) dan mengurangi seminimal mungkin kelangkaan spektrum. Spectrum sensing adalah langkah utama yang akan memungkinkan jaringan radio kognitif, yaitu untuk menentukan status spektrum dan aktivitas pengguna utama secara berkala, dengan menggunakan metode matched filter detector dan energy detector sebagai pembandingnya. Hasil dari kinerja spectrum sensing berdasarkan simulasi, menunjukan kinerja matched filter detector membutuhkan SNR = 15 dB untuk mencapai probability detection (Pd) sebesar 100%, dengan probability false alarm sebesar 0,01, sedangkan energy detector hanya membutuhkan SNR = 14,2 dB. Secara keseluruhan untuk deteksi sinyal yang optimal kinerja matched filter detector tidak lebih baik dibanding kinerja energy detector.

Kata kunci: spectrum sensing, radio kognitif, probability detection, matched filter detector, energy detector.


ABSTRACT

The evolution of wireless systems and current technology has made a huge impact on society. However, at the same time the management and utilization of spectrum scarcity is not efficient. Cognitive Radio is a new paradigm in designing wireless communication system that aims to improve the utilization of the radio frequency spectrum (RF) and reduce to a minimum the scarcity of spectrum. Spectrum sensing is a major step that will allow the cognitive radio networks, namely to determine the status of the spectrum and activity of the primary user at regular intervals, using the method of matched filter detector and energy detector as a comparison. The results of the performance spectrum sensing based on simulations, indicates the performance matched filter detector requires SNR = 15 dB to achieve detection probability (Pd) of 100%, with a probability of false alarm of 0.01, whereas energy detector only requires SNR = 14.2 dB. As a whole for optimum signal detection performance of matched filter detector is not better than the performance of energy detector.

Keywords: spectrum sensing, cognitive radio, probability detection, matched filter detector, energy detector.


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Referensi


Yucek, T., and H. Arslan. (2009). A Survey of Spectrum Sensing Algorithms for Cognitive Radio Applications. IEEE Communications Surveys and Tutorials, Vol. 11, No. 1, pp: 116–130.

Weifang Wang (2009). Spectrum Sensing for Cognitive Radio. Third International Symposium on Intelligent Information Technology Application Workshops, pp: 410-412.

Subhedar, Mansi and Gajanan Birajdar (2011). Spectrum Sensing Techniques in Cognitive Radio Networks: a Survey. India: Department of Electronics and Telecommunication Engineering, SIES Graduate School of Technology, Navi Mumbai.

Verma, Pradeep Kumar. (2012). Performance analysis of Energy detection, Matched filter detection & Cyclostationary feature detection Spectrum Sensing Techniques. India: Department of Electronics & Communication Engineering, Jaipur National University.

Kim, Hyung Seok and Waleed Ejaz etc. (2013). I3S : Intelligent spectrum sensing scheme for cognitive radio networks. Republic of Korea : Department of Information & Communication Engineering, Sejong University, Seoul.




DOI: https://doi.org/10.26760/elkomika.v1i1.60

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