| 摘要: |
| 本文讨论了在高机动平台下载机的两种机动模型：“当前”统计模型和Signer模型，并对两种模型作了仿真。仿真结果表明，在数据更新率很高的情况下，两种模型都很好，而在数据更新率较低的情况下，只有“当前”统计模型适用于高机动平台。 |
| 关键词: 雷达 数据处理 Kalman滤波 统计模型 机动平台 |
| DOI：10.3969/j.issn.1001-893X. |
| Revised:January 12, 2001 |
| 基金项目: |
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| Radar Data Processing on the High Maneuvering Platform |
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| Abstract: |
| This article describes the two high maneuvering models of plane-born radar: Current Statistical Model and Singer's Model. A simulation is made for the two models. The simulation results indicates that both of the two models perform well if the data update rate is very high, but only the first model adapts to the high maneuvering radar platform if the data update rate is low. |
| Key words: Radar,Data processing,Kalman filter,Statistical model, |
