Analysis of methods for detection of subscriber station signals in mobile communication systems
DOI:
https://doi.org/10.15587/2313-8416.2016.76426Keywords:
detection, missing targets, false alarm, optimal statistical algorithm, neural networkAbstract
The analysis of the optimal statistical detection algorithms and neural network algorithms for the detection of subscriber station signals in mobile communication system and assess the possibility of their use for problems of space-time access are conducted. The analysis of the characteristics of the energy detection of signals on the background of Lichter noise consisting of independent components of the Gaussian white noise and a set of rings is conducted
References
P. Adsul, A., K. Bodhe, S. (2010). Design of analytical model for ultra wideband system. International Journal of Computer Networks & Communications, 2 (3), 114–124. doi: 10.5121/ijcnc.2010.2309
Anh, L., Duc, N., Kim, D., Lee, S., Chang, S. (2012). Application of Matrix Pencil Algorithm to Mobile Robot Localization Using Hybrid DOA/TOA Estimation. International Journal of Advanced Robotic Systems. doi: 10.5772/54712
Adsul, A. P., Bodhe, S. K. (2011). Design and Performance Evaluation of Transmitted Reference BPSK UWB Receiver using Simulink. (IJCSIT) International Journal of Computer Science and Information Technologies, 2 (6), 2752–2760.
Ott, A. T., Shalaby, M., Siart, U., Kaliyaperumal, E., Eibert, T. F., Engelbrecht, J., Collmann, R. (2011). Performance analysis of a low cost wireless indoor positioning system with distributed antennas. Advances in Radio Science, 9, 79–84. doi: 10.5194/ars-9-79-2011
Wong, K.-K., Paulraj, A. (2007). Efficient Near Maximum-Likelihood Detection for Underdetermined MIMO Antenna Systems Using a Geometrical Approach. EURASIP Journal on Wireless Communications and Networking, 2007 (1), 084265. doi: 10.1155/2007/84265
Park, C., Choi, J., Cho, Y. S. (2015). A Signal Detection Technique for OFDMA-based Wireless Mesh Networks with TDoAs. ICT Express, 1 (1), 1–4. doi: 10.1016/s2405-9595(15)30012-6
Hassanzadeh, A., Xu, Z., Stoleru, R., Gu, G., Polychronakis, M. (2016). PRIDE: A practical intrusion detection system for resource constrained wireless mesh networks. Computers & Security, 62, 114–132. doi: 10.1016/j.cose.2016.06.007
Tihonov, V. I., Harisov, V. N. (1991). Statisticheskij analiz i sintez radiotehnicheskih ustrojstv i sistem. Moscow: Radio i svjaz', 608.
Morozova, E. O., Ovchinnikov, P. E., Semenova, M. Ju. (2013). Nejrosetevaja obrabotka signalov monoimpul'snoj lokacii. Vestnik Nizhegorodskogo universiteta im. N. I. Lobachevskogo, 6-1, 62–66.
Uossermen, F. (1992). Nejrokomp'juternaja tehnika: Teorija i praktika. Moscow: Mir, 118.
Novikova, N. M., Ljalikova, V. G. (2010). Matematicheskie modeli nejrosetevyh i statisticheskih obnaruzhitelej signalov. Nejrokomp'jutery: razrabotka i primenenie, 4, 62–68.
Tatuzov, A. L. (2009). Nejronnye seti v zadachah radiolokacii. Moscow: Radiotehnika, 432.
Levin, B. R. (1989). Teoreticheskie osnovy statisticheskoj radiotehniki. Moscow: Radio i svjaz', 656.
Mitrofanov, D. G., Safonov, A. B., Prohorkin, A. G. (2007). Modelirovanie zadachi raspoznavanija celej po ih radiolokacionnym izobrazhenijam nejrosetevym sposobom. Radiotehnika, 2, 3–9.
Akimov, P. S., Evstratov, F. F., Zaharov, S. I.; Kolosov, A. A. (Ed.) (1989). Obnaruzhenie radiosignalov. Moscow: Radio i svjaz', 288.
Novikova, N. M., Ljalikova, V. G. (2011). Komp'juternoe modelirovanie neparametricheskih statisticheskih i nejrosetevyh obnaruzhitelej. Radiotehnika, 4, 41–50.
Kruglov, V. V., Borisov, V. V. (2002). Iskusstvennye nejronnye seti Teorija i praktika. Moscow: Gorjachaja linija – Telekom, 352.
Prasolova, A. E. (2010). Nejrosetevye i statisticheskie algoritmy v zadache obnaruzhenija signalov. Telekommunikacii, 2, 2–6.
Popovs'kyj, V. V., Saburova, S. O., Olijnyk, V. F., Losjev, Ju. I., Agejev, D. V. et. al.; Popovs'kii, V. V. (Ed.) (2006). Matematychni osnovy teorii' telekommunikacijnyh system. Kharkiv: SMIT, 564.
Zinchuk, V. M., Limarev, A. E., Zinchuk, V. M., Sosulin, Ju. G., Limarev, A. E., Maksjuta, Ju. N. (2010). Jenergeticheskoe obnaruzhenie s postojannym urovnem lozhnyh trevog signala s neizvestnoj amplitudoj i formoj na fone gaussovskoj pomehi s neizvestnoj dispersiej. Radiotehnika i jelektronika, 55 (10), 1200–1210.
Urkovic, N. (1967). Obnaruzhenie neizvestnyh determinirovannyh signalov po jenergii. TIIJeR, 4, 50–59.
Scharf, L., Lytle, D. (1971). Signal detection in Gaussian noise of unknown level: An invariance application. IEEE Transactions on Information Theory, 17 (4), 404–411. doi: 10.1109/tit.1971.1054668
Leman, Je. (1979). Proverka statisticheskih gipotez. Moscow: Nauka, 408.
Zinchuk, V. M., Limarev, A. Ye., Izhbakhtina, Ye. A. (1999). Efficiency of Generalized Marcum Q-Fuiiction Computational Algorithms. Vol. 1. Radar. Navigation. Communication. Voronezh, 68–82.
Kendall, M., Stuart, A. (1973). Statistical Interference and Ralationship. Moscow: Nauka.
Kostylev V. I., Gres', I. P. (2014). Obobshhjonnoe jenergeticheskoe obnaruzhenie kvazideterminirovannyh signalov na fone shuma Lihtera. Vestnik VGU, Serija: sistemnyj analiz i informacionnye tehnologi, 4, 32–38.
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