Bistatic weak target detection method using non-cooperative air surveillance radar
At present, most of the passive radar system re- searches utilize FM radios, TV broadcasts, navigation satellites, etc. as illuminators. The transmitted signals are not specifically de- signed radar waveforms. In this work, the frequency agile, phased array air surveillance radar (ASR) is used as th...
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Veröffentlicht in: | 系统科学与复杂性:英文版 2015 (5), p.954-963 |
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creator | Dinghe Wang Qinglong Bao Ruiqi Tian Zengping Chen |
description | At present, most of the passive radar system re- searches utilize FM radios, TV broadcasts, navigation satellites, etc. as illuminators. The transmitted signals are not specifically de- signed radar waveforms. In this work, the frequency agile, phased array air surveillance radar (ASR) is used as the illuminator of opportunity to detect the weak target. The phased array tech- nology can help realize beam agility to track targets from diffe- rent aspects simultaneously. The frequency agility technology is widely employed in radar system design to increase the ability of anti-jamming and increase the detection probability. While the fre- quency bandwidth of radar signals is usually wide and the range resolution is high, the range cell migration effect is obvious during the long time integration of non-cooperative bistatic radar. In this context, coherent integration methods are not applicable. In this work, a parametric non-coherent integration algorithm based on task de-interweaving is proposed. Numerical experiments verify that this is effective in weak target detection. |
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The transmitted signals are not specifically de- signed radar waveforms. In this work, the frequency agile, phased array air surveillance radar (ASR) is used as the illuminator of opportunity to detect the weak target. The phased array tech- nology can help realize beam agility to track targets from diffe- rent aspects simultaneously. The frequency agility technology is widely employed in radar system design to increase the ability of anti-jamming and increase the detection probability. While the fre- quency bandwidth of radar signals is usually wide and the range resolution is high, the range cell migration effect is obvious during the long time integration of non-cooperative bistatic radar. In this context, coherent integration methods are not applicable. In this work, a parametric non-coherent integration algorithm based on task de-interweaving is proposed. 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The transmitted signals are not specifically de- signed radar waveforms. In this work, the frequency agile, phased array air surveillance radar (ASR) is used as the illuminator of opportunity to detect the weak target. The phased array tech- nology can help realize beam agility to track targets from diffe- rent aspects simultaneously. The frequency agility technology is widely employed in radar system design to increase the ability of anti-jamming and increase the detection probability. While the fre- quency bandwidth of radar signals is usually wide and the range resolution is high, the range cell migration effect is obvious during the long time integration of non-cooperative bistatic radar. In this context, coherent integration methods are not applicable. In this work, a parametric non-coherent integration algorithm based on task de-interweaving is proposed. Numerical experiments verify that this is effective in weak target detection.</abstract></addata></record> |
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subjects | 双基地雷达 弱目标检测 空气监测 集成方法 雷达信号 雷达系统 非合作 频率捷变技术 |
title | Bistatic weak target detection method using non-cooperative air surveillance radar |
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