Model of radar network detection based on average RCS value of different angle territory
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摘要: 针对目标在不同方位角的雷达散射截面积(RCS,Radar Cross Section)差异较大的情况,提出了一种基于目标不同角域内RCS均值的单部雷达探测概率模型及雷达网综合探测概率模型.计算机仿真平台中采用了两套不同的RCS取值方案:取单个RCS均值;根据探测方位角取不同角域内的RCS均值.两套方案所得探测概率差异表明:该模型符合雷达从不同方位角探测到目标的RCS差异较大的实际情况,计算所得探测概率更为精确.Abstract: There are great differences among the target-s radar cross section values in its different angle territory. A new model about mono radar detect probability and radar network comprehensive detect probability was presented. The model was based on the target-s average radar cross section value in its different angle territory. It adopted two different plans in the computer simulation platform: taking the target-s single average radar cross section value; taking the target-s different average radar cross section in its different angle territory, according to the angle of radar refers to the target. There are differences between the two plans- detect probability results, which prove the model-s rationality. The detect model fits the actual detect situation that radar will detect different radar cross section values from different detect angles. The detect probability result is more accurate which comes from the plan that taking the target-s different average radar cross section in its different angle territory.
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Key words:
- radar /
- probability /
- radar cross section
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