@article{koohifar_guvenc_sichitiu_2018, title={Autonomous Tracking of Intermittent RF Source Using a UAV Swarm}, volume={6}, ISSN={["2169-3536"]}, url={http://dx.doi.org/10.1109/access.2018.2810599}, DOI={10.1109/access.2018.2810599}, abstractNote={The localization of a radio-frequency transmitter with intermittent transmissions is considered via a group of unmanned aerial vehicles (UAVs) equipped with omnidirectional received signal strength sensors. This group embarks on an autonomous patrol to localize and track the target with a specified accuracy, as quickly as possible. The challenge can be decomposed into two stages: 1) estimation of the target position given previous measurements (localization) and 2) planning the future trajectory of the tracking UAVs to get lower expected localization error given current estimation (path planning). For each stage, we compare two algorithms in terms of performance and computational load. For the localization stage, we compare a detection-based extended Kalman filter (EKF) and a recursive Bayesian estimator. For the path planning stage, we compare a steepest descent posterior Cramer–Rao lower bound path planning and a bioinspired heuristic path planning. Our results show that the steepest descent path planning outperforms the bioinspired path planning by an order of magnitude, and recursive Bayesian estimator narrowly outperforms detection-based EKF.}, journal={IEEE ACCESS}, author={Koohifar, Farshad and Guvenc, Ismail and Sichitiu, Mihail L.}, year={2018}, pages={15884–15897} }
 @inproceedings{khawaja_koohifar_guvenc_2017, title={UWB radar based beyond wall sensing and tracking for ambient assisted living}, booktitle={2017 14th ieee annual consumer communications & networking conference (ccnc)}, author={Khawaja, W. and Koohifar, F. and Guvenc, I.}, year={2017}, pages={142–147} }
 @article{kumbhar_koohifar_guvenc_mueller_2017, title={A Survey on Legacy and Emerging Technologies for Public Safety Communications}, volume={19}, ISSN={["1553-877X"]}, url={https://doi.org/10.1109/COMST.2016.2612223}, DOI={10.1109/comst.2016.2612223}, abstractNote={Effective emergency and natural disaster management depend on the efficient mission-critical voice and data communication between first responders and victims. Land mobile radio system (LMRS) is a legacy narrowband technology used for critical voice communications with limited use for data applications. Recently, long term evolution (LTE) emerged as a broadband communication technology that has a potential to transform the capabilities of public safety technologies by providing broadband, ubiquitous, and mission-critical voice and data support. For example, in the United States, FirstNet is building a nationwide coast-to-coast public safety network based on LTE broadband technology. This paper presents a comparative survey of legacy and the LTE-based public safety networks, and discusses the LMRS-LTE convergence as well as mission-critical push-to-talk over LTE. A simulation study of LMRS and LTE band class 14 technologies is provided using the NS-3 open source tool. An experimental study of APCO-25 and LTE band class 14 is also conducted using software-defined radio to enhance the understanding of the public safety systems. Finally, emerging technologies that may have strong potential for use in public safety networks are reviewed.}, number={1}, journal={IEEE COMMUNICATIONS SURVEYS AND TUTORIALS}, publisher={Institute of Electrical and Electronics Engineers (IEEE)}, author={Kumbhar, Abhaykumar and Koohifar, Farshad and Guvenc, Ismail and Mueller, Bruce}, year={2017}, pages={97–124} }