Abstract
The Cognitive Radar is almost a new research topic, in which most efforts have been done for its conceptual description and the adaptive waveform design feature of these radars. While other aspect of adaptive action for optimum performance of cognitive radars has been ignored. In this paper, a framework for adaptive time resource management in Cognitive Radars is proposed. The main purpose of this paper is proposing an algorithm for time resource management, with incorporation of adaptive waveform design capability of cognitive radars, to enhance the radar performance for an efficient time resource usage. After developing the equations for radar time resource management using adaptive waveform design for the first time, an implementable algorithm is proposed and its performance is simulated and analysed. The results show that using the proposed algorithm resulted in a more efficient time resource management compared to the existing ones.
Additional information
Notes on contributors
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M. Ghadian
Mohammad Ghadian received the BS and MSc degrees in electrical engineering from Iran University of Science and Technology, Tehran. He is currently working toward the PhD degree in the Electrical and Electronic Engineering University Complex, Tehran, Iran. His current research interests are in the areas of array signal processing, radar signal processing, and sparse reconstruction, resource allocation and cognitive radar. Email: [email protected]
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R. Fatemi Mofrad
Reza Fatemi Mofrad received his BS degree from Sharif University of Technology in 1998. He received his MSc from Tehran University 2001 and PhD of telecommunication engineering from Khaje-Nasir University in 2011. His research interests are radar system design, data processing and resource management.
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B. Abbasi Arand
Bijan Abbasi Arand received the BS degree in 1995 from Shiraz University, MSc in 1997, and PhD degree in 2003 from the Tarbiat Modarres University. Since 1999, he is with the Antenna and Propagation Group of Iran Telecom Research Center, Tehran, Iran. His research areas of interest include antennas and propagation, microwave circuits, and numerical techniques in electromagnetics. Email: [email protected]