Abstract: Research on resources distribution method of multi-jamming system jam multi-radar systems is complicated and little. A reasonable jamming resources distribution method can optimize the allocation of limited resources and realize better jamming decision. For this reason, a jamming resources distribution method combining Intuitionistic Fuzzy Sets（IFS） theory and Improved Multi-scale Quantum Harmonic Oscillator Algorithm（IMQHOA） is proposed. With the parameters of hostile radar detected by passive detecting and radar system, IFS theory is used to get the threat coefficient of hostile radars scientifically and decreases the subjectivity in the evaluation process. Suppressing jamming probability matrix of multi-jamming systems jam multi-radar systems is get according to established mathematical model. With threat coefficient of radars, the optimization function of suppressing jamming efficiency is set. MQHOA is improved by compensating factor to solve the target function. The simulation shows that IMQHOA can obtain better jamming efficiency value, and has better performance in real-time and stability.

Key words: radar engineering, jamming resources distribution, intuitionistic fuzzy sets theory, multi-scale quantum harmonic oscillator algorithm

摘要： 多干扰系统干扰多雷达的资源分配问题的研究较少，而合理的干扰资源分配方法可优化资源配置，实现更加有效的干扰决策。为此，提出一种直觉模糊集（IFS）理论与改进多尺度量子谐振子（IMQHOA）算法相结合的干扰资源分配方法。利用己方无源探测系统获得雷达系统获得的敌方雷达参数，通过IFS理论对雷达威胁系数科学评估，减少了评估过程的主观性；建立数学模型，推导得到多部干扰系统对雷达组网的压制概率矩阵，结合雷达威胁系数，确定以对多雷达的压制干扰效益为目标的优化函数；引入补偿因子对MQHOA优化算法进行改进，实现目标函数的求解。仿真结果表明，相较于经典优化算法，IMQHOA优化算法可以获得干扰效益值的更优解，并且具备更好的实时性和稳定性。

关键词: 雷达工程, 干扰资源分配, 直觉模糊集理论, 多尺度量子谐振子优化算法