| 摘要: |
| 为进一步提高雷达的射频隐身能力，合理分配相控阵雷达的工作参数，在目标跟踪时，对雷达的采样周期和辐射功率控制方法进行研究。首先，根据目标运动状态的不同，对雷达采样周期与辐射功率自适应设计方法进行分析，在满足系统跟踪性能要求的前提下，建立了控制参数的优化模型；然后，利用粒子群算法优化自适应采样周期和自适应辐射功率等参数，有效地降低了跟踪性能误差，提高了雷达系统的射频隐身性能。与传统的雷达采样周期和辐射功率算法进行了仿真比较，结果表明所提的算法取得了较好射频隐身效果。 |
| 关键词: 相控阵雷达 射频隐身 采样周期 辐射功率 目标跟踪 粒子群优化 |
| DOI： |
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| 基金项目:国家自然科学青年基金资助项目（61401179）；江苏省属高校自然科学基金资助项目（14KJB510009） |
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| Study on sampling period and radiation power control method for radio frequency stealth |
| LI Qiubin,ZHANG Zhenkai,TIAN Yubo |
| () |
| Abstract: |
| In order to improve the radar’s ability of radio frequency(RF) stealth and configure phased array radar parameters properly,in radar’s target tracking,the method of sampling period and radiation power control is studied. Firstly,according to different target motion state,an optimization model of control parameter is built after the design method of sampling period and adaptive radiation power is analyzed,in order to meet the requirements of tracking performance. Secondly,particle swarm optimization(PSO) algorithm is used to optimize the sampling period and radiated power,which can reduce the performance tracking error and improve the RF stealth performance of the radar system. Compared with the conventional method of the radar sampling period and radiated power,the proposed algorithm has better RF stealth performance. |
| Key words: phased array radar radio frequency stealth sampling period radiated power target tracking particle swarm optimization |
《电讯技术》编辑部 