Self-adapting radiation control method for RFS in tracking

doi:10.21629/JSEE.2018.02.04

Journal of Systems Engineering and Electronics ›› 2018, Vol. 29 ›› Issue (2): 244-255.doi: 10.21629/JSEE.2018.02.04

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Self-adapting radiation control method for RFS in tracking

Hongqiang LIU¹(), Lei YU¹(), Haiyan YANG^2,*(), Zhongliang ZHOU¹()

¹ Aeronautics and Astronautics Engineering College, Air Force Engineering University, Xi'an 710038, China
² Air Traffic Control and Navigation College, Air Force Engineering University, Xi'an 710051, China

Received:2016-06-22 Online:2018-04-26 Published:2018-04-27
Contact: Haiyan YANG E-mail:lhqkgdsa@126.com;18191258626@163.com;yanghy07@yeah.net;mutouzzl@sohu.com
About author:LIU Hongqiang was born in 1988. He received his B.S. degree from Air Force Engineering University (AFEU) in 2011, and M.S. degree from Aeronautics and Astronautics Engineering University in 2014. He is currently working towards his Ph.D. degree in AFEU. His research interests are radio frequency stealth (RFS) and plan recognition. E-mail: lhqkgdsa@126.com|YU Lei was born in 1962. He has been a professor in Air Force Engineering University since 1999. He is the scientific research minister of Air Force Engineering University currently. He is a member of the professional committee of Chinese Society of Aeronautics and Astronautics (CSAA). He has worked on the application of aviation weapon and military operation theory for many years. Now his research interests are RFS and plan recognition. E-mail: 18191258626@163.com|YANG Haiyan was born in 1972. She received a bachelor degree in industrial automation instrumentation from Nanjing University of Science and Technology in 1995. In 2001, she received her master's degree in weapon system and application engineering from Air Force Engineering University. In 2012, she received her doctorate degree in instrument science and technology from Tsinghua University. E-mail: yanghy07@yeah.net|ZHOU Zhongliang was born in 1978. He received his B.S. degree, M.S.degree and Ph.D. degree from Air Force Engineering University in 2001, 2004 and 2008 respectively. His research interests are RFS and plan recognition. E-mail: mutouzzl@sohu.com
Supported by:
the National Natural Science Foundation of China(61472441);This work was supported by the National Natural Science Foundation of China (61472441)

Abstract

Abstract:

The aim of this paper is to achieve the radio frequency stealth (RFS) during the course of tracking by controlling the radiation energy and the interval of a radar. Firstly, we build the model of probability of interception with the once radiation during the course of tracking. Secondly, we establish the model of the cumulative probability of interception to describe the effect of RFS throughout the tracking process and obtain two solutions that are minimizing the probability of interception and the radiation times to reduce the cumulative probability of interception. Thirdly, we propose a self-adapting radiation energy control method (SARE) to minimize the probability of interception. Fourthly, we propose a self-adapting radiation interval control method (SARI) to minimize radiation times. Fifthly, combining SARE with SARI, we propose a SARE-SARI control method (SAEI) during the course of tracking. Finally, we compare SAEI with two others by simulation, and the results show the effect of RFS of SAEI is better than the other two, but we have to make a trade-off between the ability of RFS and the effect of tracking.

Key words: energy control, radiation time, intercept probability, numerical integration, genetic algorithm, radio frequency stealth (RFS)

Hongqiang LIU, Lei YU, Haiyan YANG, Zhongliang ZHOU. Self-adapting radiation control method for RFS in tracking[J]. Journal of Systems Engineering and Electronics, 2018, 29(2): 244-255.

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References 22

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Parameter	Value
$ p_{fa} $	$ 10^{-6} $
$ p_{d} $	70%
N	2 200
$ \eta $	0.8
$ G_{RP} $	28
$ \lambda /m $	0.03
$ T_{r}/s $	$ 5\times 10^{-4} $
$ \tau _0 /s $	$ 1\times 10^{-6} $
$ B_{r}/MHz $	1
$ N_{F}/dB $	3

Parameter	Value
$ pf $	10^-8
$ N_{Fi}/dB $	6
$ G_{i} $	10
$ G_{IP} $	2
$ T_{I}/s $	2
$ T_{0}/K $	290

Group	$ R/km $	$ v/(m/s) $	$ \psi $	$ \sigma $/m$^{2} $
1	200	200	45$^{\circ}$	50
2	60	50	0$^{\circ}$	1

Group	Method	$ P_{t}/W $	$ T_{OT}/s $	$ p_{i} $
1	SARE	9 177	0.001 1	0.000 5
1	MRP	101	0.1	0.045 8
2	SARE	0.681 8	2.997 8	0.000 3
2	MRP	20.43	0.1	0.050 0

Number	Time/s	Type	Parameter
1	0– 60	CV	$ v_{x} = 200 m/s, $v_{y}$ = 150 m/s $
2	60 – 100	CT	$ \omega = 0.05 rad $
3	100 – 120	CA	$ a_{x}$ = 5 m/s$^{2}$, $a_{y}$ = 8 m/s$^{2} $
4	120 – 200	CT	$\omega = –0.03 rad $

Self-adapting radiation control method for RFS in tracking

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Figures/Tables 16

References 22

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Method	RMSE/m	$ \bar N $	$ {\bar p_{{\rm{CPI}}}}{\rm{/\% }} $
FIAE	74.78	100	57
AIFE	129.24	74	42
SAEI	141.95	73.6	23

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