一种组网雷达闪烁探测优化调度模型

邢怀玺; 邢清华

doi:10.13700/j.bh.1001-5965.2022.0924

一种组网雷达闪烁探测优化调度模型

doi: 10.13700/j.bh.1001-5965.2022.0924

邢怀玺,
邢清华^,

空军工程大学防空反导学院，西安 710051

基金项目: 国家自然科学基金(71771216)

详细信息

通讯作者:
E-mail：qh_xing@126.com

中图分类号: E911
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出版历程
- 收稿日期: 2022-11-17
- 录用日期: 2023-04-01
- 网络出版日期: 2023-04-21
- 整期出版日期: 2024-12-31

An optimal scheduling model for scintillation detection of netted radars

XING Huaixi,
XING Qinghua^,

Air and Missile Defense College，Air Force Engineering University，Xi’an 710051，China

Funds: National Natural Science Foundation of China (71771216)

More Information

Corresponding author: E-mail: qh_xing@126.com

摘要

摘要:
空中干扰机执行对地自卫干扰突防行动时，防空组网雷达闪烁探测体制可以保证防空雷达协同探测的效益并提高系统的隐蔽性。提出一种基于多目标人工蜂群(MOABC)算法的防空组网雷达闪烁探测优化调度模型。对方位-距离区间化处理，将雷达网探测责任区划分成网格，将干扰机航迹离散化处理，把网格中心等效成不同时隙下干扰机的位置；建立了以干扰机威胁度、有源探测时间、发现概率为优化目标的雷达网闪烁探测优化调度模型；利用MOABC算法求解雷达工作状态调度方案，并用十进制整数编码方式降低搜索空间维度。仿真结果表明：所提模型相较于其他模型能够更好地提高地面雷达阵地生存能力，同时也保证了雷达网的探测能力。
- 闪烁探测 /
- 组网雷达 /
- 自卫干扰 /
- 多目标人工蜂群 /
- 发现概率
Abstract:
When the jammer executes the ground self-screening jamming and penetration action, the scintillation detection system of air-defense netted radars can guarantee the efficiency of cooperative detection of air-defense radars and improve the concealment of the system. An optimal scheduling model for scintillation detection of air-defense netted radars based on a multi-objective artificial bee colony (MOABC) algorithm was proposed. Firstly, the azimuth-range interval was processed, and the radar network detection responsibility area was divided into multiple grids. The jammer track was discretized, and the grid center point was approximated to the position of the jammer in different time slots. Then, the optimal scheduling model for scintillation detection of radar network was established, which took the threat degree of jammer, active detection time, and detection probability as optimization objectives. Finally, the MOABC algorithm was used to solve the radar scheduling scheme in a working state, and decimal integer encoding was adopted to reduce the search space dimension. The simulation results show that the optimized scheduling scheme can significantly improve the survivability of ground radar positions compared with other strategies and ensure the detection ability of radar networks.
- scintillation detection /
- netted radars /
- self-screening jamming /
- multi-objective artificial bee colony /
- detection probability

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图 1 监视区域网格划分

Figure 1. Meshing of detection area

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图 2 干扰信号带宽覆盖雷达接收机带宽

Figure 2. Jamming signal bandwidth covering radar receiver bandwidth

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图 3 拥挤度示意图

Figure 3. Schematic diagram of congestion degree

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图 4 二进制-十进制映射编码示意图

Figure 4. Binary-decimal mapping encoding

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图 5 雷达网部署和干扰机突防航迹

Figure 5. Radar network deployment and jammer penetration tracks

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图 6 MOABC算法的非支配解

Figure 6. Non-dominated solution of MOABC algorithm

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图 7 雷达工作状态调度时序图

Figure 7. Time sequence scheduling diagram of radar in working state

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图 8 单部雷达累计闪烁探测时间

Figure 8. Cumulative scintillation detection time of single radar

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图 9 干扰机对单部雷达威胁度

Figure 9. Threat degree of jammer to single radar

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图 10 单部雷达发现概率

Figure 10. Single radar detection probability

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图 11 干扰机对雷达网平均威胁度变化

Figure 11. Average threat degree of jammer to radar network

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图 12 雷达网累计有源探测时间

Figure 12. Accumulative active detection time of radar network

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图 13 雷达网总发现概率

Figure 13. Radar network detection probability

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图 14 二进制编码非支配解分布

Figure 14. Binary-coded non-dominated solution distribution

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表 1 干扰机工作参数

Table 1. Jammer working parameters

参数	数值
干扰总功率/W	100
增益/dB	10
极化失配损失	0.5
波长/m	0.1
系统损耗	0.15

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表 2 雷达工作参数

Table 2. Radar working parameters

参数	数值
发射功率/kW	600
增益/dB	40
脉冲积累数	16
虚警概率	10⁻⁶
最大探测距离/km	300
扫描周期/s	10
工作频带/GHz	3～8
波长/m	0.1
系统损耗	0.15

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表 3 2种编码方式算法性能比较

Table 3. Comparison of algorithm performance of two encoding methods

编码方式	$ {\bar f_1} $	$ {\bar f_2} $	$ {\bar f_3} $	运行时间/s
二进制	0.520	0.365	0.828	10.09
十进制	0.508	0.351	0.852	5.89

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