Tsalolihin, E, I Bilik, and N Blaunstein. 2010. “Mobile User Location in Dense Urban Environment Using Unified Statistical Model”. In Proceedings of the Fourth European Conference on Antennas and Propagation, 1-5. American Journal.
Publications by Author: I Bilik
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Tsalolihin, E, N Blaunstein, I Bilik, L Ali, and S Shakya. 2010. “Measurement and Modeling of the Indoor Communication Link in Angle of Arrival and Time of Arrival Domains”. In Proc. Of Int. IEEE/URSI Conference in Toronto, 12-17. American Journal.
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Longman, O, I Bilik, S Villeval, and S Shayovitz. 2019. “Mitigation of Vehicle Vibration Effect on Automotive Radar”. In 2019 IEEE Radar Conference (RadarConf), 1-6. American Mathematical Soc.
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Khomchuk, P, and I Bilik. 2010. “Dynamic Direction-of-Arrival Estimation via Spatial Compressive Sensing”. In 2010 IEEE Radar Conference, 1191-96. Dublin, Ireland: Dublin City University.
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Gilbert, K, I Bilik, J Buck, and K Payton. 2010. “Prequential Bayes Mixture Approach for Gaussian Mixture Order Selection”. In 2010 IEEE Sensor Array and Multichannel Signal Processing Workshop, 173-76. American Journal.
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Baser, E, and I Bilik. 2010. “Modified Unscented Particle Filter Using Variance Reduction Factor”. In 2010 IEEE Radar Conference, 893-98. American Journal.
Bilik, I, and J Tabrikian. 2010. “Maneuvering Target Tracking in the Presence of Glint Using the Nonlinear Gaussian Mixture Kalman Filter”. IEEE Transactions on Aerospace and Electronic Systems 46 (1): 246-62.
Bilik, I, K Adhikari, and . 2010. “Information Theoretic Bounds on Mobile Source Localization in a Dense Urban Environment”. In 2010 IEEE Sensor Array and Multichannel Signal Processing Workshop, 109-12. Princeton University Press.
Bilik, I. 2009. “Spatial Compressive Sensing Approach for Field Directionality Estimation.”. In 2009 IEEE Radar Conference, 1-5. American Mathematical Society and London Mathematical Society.
Bilik, I, and J Tabrikian. 2009. “MMSE-Based Filtering for Linear and Nonlinear Systems in the Presence of Non-Gaussian System and Measurement Noise”. Kalman Filter: Recent Advances and Applications, 25.