Joint waveform selection and power allocation algorithm in manned/unmanned aerial vehicle hybrid swarm based on chance-constraint programming

doi:10.23919/JSEE.2022.000054

Journal of Systems Engineering and Electronics ›› 2022, Vol. 33 ›› Issue (3): 551-562.doi: 10.23919/JSEE.2022.000054

• ELECTRONICS TECHNOLOGY • Previous Articles Next Articles

Joint waveform selection and power allocation algorithm in manned/unmanned aerial vehicle hybrid swarm based on chance-constraint programming

Yuanshi ZHANG¹(), Minghai PAN¹(), Weijun LONG²(), Hua LI¹(), Qinghua HAN^3,*()

¹ College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
² Nanjing Research Institute of Electronics Technology, Nanjing 210039, China
³ College of Artificial Intelligence, Zaozhuang University, Zaozhuang 277160, China

Received:2020-12-25 Online:2022-06-18 Published:2022-06-24
Contact: Qinghua HAN E-mail:z_yuanshi@163.com;panmh@nuaa.edu.cn;chinacohit2020@163.com;zibel@163.com;hanqinghua123@163.com
About author:|ZHANG Yuanshi was born in 1995. He is currently working toward his Ph.D. degree in the College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China. His research interests include multistatic radar, radar resource allocation and target tracking. E-mail: z_yuanshi@163.com||PAN Minghai was born in 1962. He received his B.S. degree in 1985 and his M.S. degree in 1988, both from the Harbin Institute of Technology. Now he is a professor and Ph.D. supervisor of the College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics. His research interests include radar system design, radio frequency simulation, radar signal processing and new system radar. E-mail: panmh@nuaa.edu.cn||LONG Weijun was born in 1962. He received his Ph.D. degree from Nanjing University of Aeronautics and Astronautics. Now, he is a researcher in Nanjing Research Institute of Electronics Technology. His research interests include radar signal processing, radar resource management and new system radar. E-mail: chinacohit2020@163.com||LI Hua was born in 1979. He is currently working toward his Ph.D. degree in the College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China. His research interests include radio frequency simulation and radar signal processing. E-mail: zibel@163.com||HAN Qinghua was born in 1979. He received his B.S. degree from the Qingdao University of Technology in 2009, his M.S. degree from Nanjing University of Science and Technology in 2012, and his Ph.D. degree form Nanjing University of Aeronautics and Astronautics. Now he is lecturer of the College of Artificial Intelligence, Zaozhuang University. His research interests include radar signal processing, radar resource management and new system radar. E-mail: hanqinghua123@163.com
Supported by:
This work was supported by the National Natural Science Foundation of China (62071440; 61671241).

Abstract

Abstract:

In this paper, we propose a joint waveform selection and power allocation (JWSPA) strategy based on chance-constraint programming (CCP) for manned/unmanned aerial vehicle hybrid swarm (M/UAVHS) tracking a single target. Accordingly, the low probability of intercept (LPI) performance of system can be improved by collaboratively optimizing transmit power and waveform. For target radar cross section (RCS) prediction, we design a random RCS prediction model based on electromagnetic simulation (ES) of target. For waveform selection, we build a waveform library to adaptively manage the frequency modulation slope and pulse width of radar waveform. For power allocation, the CCP is employed to balance tracking accuracy and power resource. The Bayesian Cramér-Rao lower bound (BCRLB) is adopted as a criterion to measure target tracking accuracy. The hybrid intelligent algorithms, in which the stochastic simulation is integrated into the genetic algorithm (GA), are used to solve the stochastic optimization problem. Simulation results demonstrate that the proposed JWSPA strategy can save more transmit power than the traditional fixed waveform scheme under the same target tracking accuracy.

Key words: multistatic radar system (MRS), target tracking, manned/unmanned aerial vehicle hybrid swarm (M/UAVHS), power allocation, waveform selection

Yuanshi ZHANG, Minghai PAN, Weijun LONG, Hua LI, Qinghua HAN. Joint waveform selection and power allocation algorithm in manned/unmanned aerial vehicle hybrid swarm based on chance-constraint programming[J]. Journal of Systems Engineering and Electronics, 2022, 33(3): 551-562.

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${b_{{\rm{m i n}}} }$	$ {b_{{\rm{m a x}}}} $	$ \Delta b $ /(GHz/s)	$ {\lambda _{{\rm{m i n}}}} $	$ {\lambda _{{\rm{m a x}}}} $	$ \Delta \lambda $ /μ ${\rm{ s} }$
1e10	1e11	$ {\text{2}} $	5e?5	10e?5	5

Index	FM slope	Pulse width
Waveform 1	5.8e10	7.0e?5
Waveform 2	4.4e10	8.5e?5
Waveform 3	6.2e10	6.5e?5

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Joint waveform selection and power allocation algorithm in manned/unmanned aerial vehicle hybrid swarm based on chance-constraint programming

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