References: [1] Schmidt, R. (1986). Multiple emitter location and signal parameter estimation, IEEE Transactions on Antennas and Propagation, 34 (3) 276-28, 1986. [2] Allen, B., Ghavami, M. (2005). Adaptive Array Systems: fundamentals and applications, Wiley. [3] Christodoulou, C. G., Georgiopoulos, M. (2000). Application of neural networks in electromagnetics, Artech House, December. [4] El Zooghby, A. H., Christodoulou, C. G., Georgiopoulos, M. (2000). A neural network based smart antenna for multiple source tracking, IEEE Transactions on Antennas and Propagation, 48 (5) 768 – 776. [5] Agatonovi, M., Stankovi, Z., Don ov. N., Sit, L., Milovanovi, B., Zwick, T. (2012). Application of artificial neural networks for efficient high-resolution 2D DOA estimation, Radioengineering, 21 (4) 1178-1186. [6] Stankovi, Z., Don ov, N., Russer, J., Asenov, T., Milovanovi, B. (2013). Efficient DOA estimation of impinging stochastic EM signal using neural networks, In: Proceedings of the International Conference on Electromagnetics in Advanced Applications (15th Edition including EMS), ICEAA 2013, Torino, Italy, September 9-13, 575-578. [7] Stankovi, Z., Don ov, N., Russer, J., Milovanovi, I., Agatonovi, M. (2013). Localization of Stochastic Electromagnetic Sources by using Correlation Matrix Trained MLP Neural Network, Microwave Review Serbia, 19 (2) 44-49, December. [8] Stankovi, Z., Don ov, N., Russer, J., Milovanovi, I., Milovanovi, B. (2014). Neural Network Approach for Efficient DOA Determination of Multiple Stochastic EM Sources in Far-field, In: Proceedings of the 1st IEEE International Conference on Numerical Electromagnetic Modeling and Optimization for RF, Microwave, and Terahertz Applications, NEMO 2014, Pavia, Italy 14-16 May, 2014, 1-4. [9] Stankovic, Z., Doncov, N., Milovanovic, I., Milovanovic, B., Stoiljkovic, M. (2014). Localization of mobile users of stochastic radiation nature by using Neural Networks, In: Proceedings of the 49th International Scientific Conference on Information, Communication and Energy Systems and Technologies, ICEST 2014, Niš, Serbia, June 25 – 27, 2014, 2, 347-350. [10] Stankovic, Z., Doncov, N., Milovanovi, I., Milovanovi, B. (2014). Neural network model for efficient localization of a number of mutually arbitrary positioned stochastic EM sources in far-field, In: Proceedings of the 12th Symposium on Neural Network Applications in Electrical Engineering, NEUREL 2014, Beograd, Serbia, 41-44. [11] Stankovi, Z., Doncov, N., Milovanovic, B., Milovanovic, I. (2015). Efficient DoA Tracking of Variable Number of Moving Stochastic EM Sources in Far- Field Using PNN-MLP Model, International Journal of Antennas and Propagation, 2015, Article ID 542614, 11 pages, 2015. doi:10.1155/2015/542614 [12] Haykin, Neural Networks, New York, IEEE, 1994. [13] Zhang, Q. J., Gupta, K. C. (2000). Neural networks for RF and microwave design, Artech House, Boston, MA. [14] Russer, J. A., Asenov, T., Russer, P. (2012). Sampling of stochastic electromagnetic fields, IEEE MTT-S International Microwave Symposium Digest, Montreal, Canada, 1-3. [15] Russer, J.A., Russer, P. (2015). Modeling of Noisy EM Field Propagation Using Correlation Information, IEEE Transactions on Microwave Theory and Techniques, 63 (1) 76-89. |