| 摘要: |
| 为解决雷达组网带来的电子干扰效能下降的问题，构建多部干扰装备对抗多部雷达组网的干扰目标分配模型，结合雷达的探测概率系数和干扰装备的干扰效果系数构建目标函数。采用遗传算法，并对编码方式、适应度函数、初始种群、交叉、变异等要素进行优化改进。计算机仿真结果表明，干扰装备通过协同干扰将雷达组网探测系统的探测概率从99.05%压制到37.26%，验证了模型的可行性和算法的有效性。最终的分配结果满足干扰装备对目标的分配要求，为实现多部干扰装备对抗雷达组网干扰效能的提升提供了有效的干扰目标分配方法。 |
| 关键词: 雷达组网 协同干扰 探测概率 干扰效果 目标分配 遗传算法 |
| DOI：DOI:10.3969/j.issn.1672-2337.2023.04.013 |
| 分类号:TN972 |
| 基金项目: |
|
| A Jamming Target Allocation Method Against Radar Network |
|
CHEN Sinan
|
|
The 29th Research Institute of China Electronics Technology Group Corporation, Chengdu 610036, China
|
| Abstract: |
| In order to address the problem of declined electronic jamming due to radar network, a jamming target allocation model with multiple pieces of jamming equipment is constructed against multi?radar network. A target function is constructed by the detection probability coefficient of radars and the jamming effect coefficient of jamming equipment. With adoption of genetic algorithm, such elements as coding scheme, fitness function, initial population, crossover and variation etc. are optimized. The computer simulation results show that the coordination of jamming equipment can suppress the detection probability of radar network’s detection system from 99.05% to 37.26%, proving the feasibility of the model and the effectiveness of the algorithm. The final allocation result satisfies the requirements on target allocation of jamming equipment, and provides an effective jamming target allocation method for improving the jamming effectiveness of multiple jamming equipment against radar network. |
| Key words: radar network cooperative jamming detection probability jamming effectiveness target allocation genetic algorithm |
