机载有源相控阵雷达抗干扰试验评估研究
发布时间：2018-12-06 12:48
【摘要】：文中通过机载有源相控阵雷达与电子战设备对抗过程建模和半实物对抗射频仿真试验,建立雷达对抗效能评估方法。从而全面地评估雷达抗干扰效能,以满足实际军事应用的需要。该研究可对机载有源相控阵雷达系统技术、抗干扰算法等关键技术进行工程化试验验证;也可对雷达抗干扰性能进行内场系统试验,支持雷达产品设计定型前的复杂电磁环境适应性摸底试验;还可为机载有源相控阵雷达抗干扰性能提供有力的试验验证与评估。
[Abstract]:In this paper, an evaluation method of radar countermeasure effectiveness is established by modeling the countermeasure process between airborne active phased array radar and electronic warfare equipment and simulating radio frequency test of hardware-in-the-loop countermeasure. Therefore, the effectiveness of radar anti-jamming can be comprehensively evaluated to meet the needs of practical military applications. This research can be used to verify the key technologies of airborne active phased array radar system, anti-jamming algorithm and so on. It can also test the anti-jamming performance of radar in the inner field, support the adaptability test of complex electromagnetic environment before the design of radar products, and provide a powerful test verification and evaluation for the anti-jamming performance of airborne active phased array radar.
【作者单位】： 上海交通大学上海市智能探测与识别重点实验室;
【分类号】：TN958.92
[Abstract]:In this paper, an evaluation method of radar countermeasure effectiveness is established by modeling the countermeasure process between airborne active phased array radar and electronic warfare equipment and simulating radio frequency test of hardware-in-the-loop countermeasure. Therefore, the effectiveness of radar anti-jamming can be comprehensively evaluated to meet the needs of practical military applications. This research can be used to verify the key technologies of airborne active phased array radar system, anti-jamming algorithm and so on. It can also test the anti-jamming performance of radar in the inner field, support the adaptability test of complex electromagnetic environment before the design of radar products, and provide a powerful test verification and evaluation for the anti-jamming performance of airborne active phased array radar.
【作者单位】： 上海交通大学上海市智能探测与识别重点实验室;
【分类号】：TN958.92
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7 范e，
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