| 摘要: |
| 机外数据链信息引导雷达搜索目标是战斗机实现隐身战斗任务的重要技术手段。采用概率方法分别建立多拍连续数据链引导信息与累积发现概率、累积被检测概率之间的关系，通过动态规划方法建立多阶段动态决策模型，满足雷达探测性能的条件下，获得最优的雷达隐身性能。最后，在典型作战场景下对模型进行仿真验证，结果表明所提的最优搜索策略相比于经验搜索策略能减少雷达辐射时间67.5%，相比于模型保守策略减少83.75%。 |
| 关键词: 雷达探测 隐身性能 数据链引导搜索 累积发现概率 动态规划 最优搜索策略 |
| DOI： |
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| 基金项目: |
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| Radar search strategy based on datalink information continuous cueing |
| LAI Zuomei,QIAO Wensheng,GU Bo,WU Bifu |
| () |
| Abstract: |
| Offboard datalink information cueing radar search target is an important technique of fighter playing stealthy air-combat.Firstly,the relationship between the continuous datalink cueing information and the accumulative detection probability is established.Meanwhile,the relationship between the continuous datalink cueing information and the accumulative by-detected probability of enemy passive detection system is proposed.Secondly,according to the dynamic programming,the mathematic model of multi-stage dynamic decision-making is put forward to obtain the optimal search strategy,which can achieve optimal radar stealthy performance within given radar detection performance.Finally,the optimal search strategy is simulated based on the typical air-combat setting and the result shows it can reduce radar radiation time 67.5% and 83.75% compared with experience search strategy and model conservative search strategy,respectively. |
| Key words: radar detection stealth performance datalink cue search accumulative detection probability dynamic programming optimal search strategy |
