Target assignment method for phased array radar network in anti-missile early warning
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摘要:
针对相控阵雷达网跟踪弹道导弹目标时的资源管理问题,分析阐述反导预警作战场景,提出综合目标跟踪精度和雷达切换频率的目标分配效益函数,从雷达能量、时间及雷达与目标可见性三方面建立约束条件,以准确反映目标分配过程中的实际限制,在此基础上构建反导预警相控阵雷达网目标分配模型。根据反导预警任务特点,设置目标分配的自适应间隔,以提高模型设计合理性。就稀疏弹道导弹目标跟踪、密集弹道导弹目标跟踪2种场景进行仿真实验,结果表明:运用所提方法能够有效实现目标分配,提升相控阵雷达网资源利用效率,并能够减少雷达切换次数。
Abstract:To solve the resource management problem of phased array radar network in tracking ballistic missiles, the scenario of anti-missile early warning combat is analysed, and a target assignment benefit function is proposed, which integrates target tracking accuracy and radar switching rate. Constraints are established from three aspects:radar energy resource, radar time resource and the visibility between radars and targets, so that actual limits in target assignment are reflected. The target assignment model for phased array radar network in anti-missile early warning is constructed on the basis of the objective function and constraints. According to the mission characteristics of anti-missile early warning, the adaptive interval is set for target assignment, which improves model design rationality. Two groups of simulation experiment are conducted separately in the scenarios of sparse target tracking and dense target tracking. The experimental results show that the proposed method can effectively conduct the target assignment, improve the resource utilization efficiency of phased array radar network, and reduce the frequency of radar switching.
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表 1 导弹射程及发射点坐标
Table 1. Missile range and launch point coordinates
导弹 射程/km 发射点坐标/(°) M1 1 500 (128.175, 37.600) M2 (127.175, 36.600) M3 2 000 (131.528, 33.720) M4 (131.156, 31.864) M5 (131.156, 31.864) M6 (130.508, 29.043) M7 (130.175, 17.489) 表 2 雷达相关参数
Table 2. Radar related parameters
相关参数 数值 信号重复周期/ms 50 发射器长度/ms 5 最大搜索间隔时间/s 30 最大时间资源利用率/% 90 最大平均功率/kW 60 峰值发射功率/kW 250 最大能量资源利用率/% 90 脉冲重复次数 2 半功率波束宽度/(°) 2 基准信噪比/dB 17.6 对导弹目标的量测噪声 diag[500, 500, 500] 表 3 目标相关参数
Table 3. Target related parameters
目标 优先级 采样间隔/s 过程噪声 M1 3 0.25 diag[1, 1, 1] M2 3 0.25 M3 2 0.5 M4 2 0.5 M5 1 1 M6 1 1 M7 1 1 表 4 遗传算法参数设置
Table 4. Parameter setting of genetic algorithm
参数 数值 种群规模 20 交叉概率 0.8 变异概率 0.2 表 5 目标分配方案(实验1)
Table 5. Target assignment scheme (Experiment 1)
分配时刻/s R1 R2 0 M1, M2, M3 M4, M5, M7 12 M1, M2, M3 M4, M5, M6, M7 74 M1, M2, M3, M4 M5, M6, M7 表 6 目标簇编号及优先级
Table 6. Target cluster number and priorities
目标簇 优先级 {M1}:M1~M5 3 {M2}:M6~M10 3 {M3}:M11~M15 2 {M4}:M16~M20 2 {M5}:M21~M25 1 {M6}:M26~M30 1 {M7}:M31~M35 1 注:{M1}表示实验1中M1在关机点后产生的目标集合,其他类似。 表 7 目标分配方案(实验2)
Table 7. Target assignment scheme (Experiment 2)
分配时刻/s R1 R2 0 {M1}, {M2}, {M3} {M4}, {M5}, {M7} 12 {M1}, {M2}, {M3} {M4}, {M5}{M6}, {M7} 74 {M1}, {M2},{M3}, {M4} {M5}, {M6}, {M7} 表 8 两次实验结果对比
Table 8. Comparison of two experimental results
指标 实验1 实验2 FT1/s 1.62 6.41 FT2/s 0.47 6.08 TO1 0.11 0.18 TO2 0.10 0.13 表 9 雷达平均切换次数对比
Table 9. Comparison of average switching times of radar
指标 本文方法 协方差控制分配方法 雷达平均切换次数 1.8 10.7 -
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