Outputs (14)

Ensemble-Empirical-Mode-Decomposition based micro-Doppler signal separation and classification (2017)
Journal Article
Chen, H., Lin, P., Emrith, K., Narayan, P. P., & Yao, Y. (2017). Ensemble-Empirical-Mode-Decomposition based micro-Doppler signal separation and classification. International Journal of Computer Applications in Technology, 56(4), 253-263. https://doi.org/10.1504/IJCAT.2017.10009946

The target echo signals obtained by Synthetic Aperture Radar (SAR) and Ground Moving Target Indicator (GMTI platforms are mainly composed of two parts, the micro-Doppler signal and the target body part signal. The wheeled vehicle and the track vehicl... Read More about Ensemble-Empirical-Mode-Decomposition based micro-Doppler signal separation and classification.

Design of U-PPC-Type II for Nonlinear Systems (2016)
Journal Article
Narayan, P., Zhu, G., Qiu, J., Zhu, Q., Narayan, P. P., & Wright, S. (2016). Design of U-PPC-Type II for Nonlinear Systems. https://doi.org/10.1109/ChiCC.2016.7555008

© 2016 TCCT. In this study, a new U-PPC-Type II (U-model Pole Placement Control Type II) control system design procedure is proposed based on the U-model principle. The objective of a U-PPC-Type II design is to determine a linear controller Gc from a... Read More about Design of U-PPC-Type II for Nonlinear Systems.

Embedding human expert cognition into autonomous UAS trajectory planning (2013)
Journal Article
Campbell, D., Narayan, P., Meyer, P., & Campbell, D. A. (2013). Embedding human expert cognition into autonomous UAS trajectory planning. IEEE Transactions on Cybernetics, 43(2), 530-541. https://doi.org/10.1109/TSMCB.2012.2211349

This paper presents a new approach for the inclusion of human expert cognition into autonomous trajectory planning for unmanned aerial systems (UASs) operating in low-altitude environments. During typical UAS operations, multiple objectives may exist... Read More about Embedding human expert cognition into autonomous UAS trajectory planning.

Development of an autonomous unmanned aerial system to collect time-stamped samples from the atmosphere and localize potential pathogen sources (2011)
Journal Article
Walker, R., Gonzalez, F., Castro, M. P., Narayan, P., & Zeller, L. (2011). Development of an autonomous unmanned aerial system to collect time-stamped samples from the atmosphere and localize potential pathogen sources. Journal of Field Robotics, 28(6), 961-976. https://doi.org/10.1002/rob.20417

This paper presents the hardware development and testing of a new concept for air sampling via the integration of a prototype spore trap onboard an unmanned aerial system (UAS). We propose the integration of a prototype spore trap onboard a UAS to al... Read More about Development of an autonomous unmanned aerial system to collect time-stamped samples from the atmosphere and localize potential pathogen sources.