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| 均方意义下三维雷达无偏转换测量误差协方差阵的推导 | |
| 引用本文： | 王国宏,毛士艺,李明.均方意义下三维雷达无偏转换测量误差协方差阵的推导[J].海军航空工程学院学报,2001,16(1):126-130. |
| 作者姓名： | 王国宏 毛士艺 李明 |
| 作者单位： | 1. 海军航空工程学院电子工程系,烟台,264001 2. 北京航空航天大学,北京,100083 3. 海装驻111厂军事代表室,沈阳,111100 |
| 摘 要： | 在以前的研究中,无偏转测量误差协方差阵是基于当前测量值得到的.为了能利用所有历史数据以得到更精确的转换测量误差协方差阵估计,文中在均方意义下,推导了三维雷达的最优无偏转换测量误差协方差阵. |
| 关 键 词： | 卡尔曼滤波器 卡尔曼转换测量滤波器 无偏卡尔曼转换测量滤波器 协方差 估计值 |
DERIVATION OF UNBIASED CONVERTED MEASUREMENT ERROR COVARIANCE MATRIX FOR 3-D RADAR IN THE MEAN-SQUARE SENSE |
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| WANG Guo-hong,MAO Shi-yi,LI Ming.DERIVATION OF UNBIASED CONVERTED MEASUREMENT ERROR COVARIANCE MATRIX FOR 3-D RADAR IN THE MEAN-SQUARE SENSE[J].Journal of Naval Aeronautical Engineering Institute,2001,16(1):126-130. | |
| Authors: | WANG Guo-hong MAO Shi-yi LI Ming |
| Abstract: | The converted measurement Kalman filter (CMKF)has been widely used for radar tracking problem. However, it has been found that the performance of CMKF degrades considerably when cross-range measurement errors of the target position are large. The unbiased converted measurement method has the advantage of exact debasing and its covariance was derived elsewhere by using the current measurements.In order to use the data up to the current time to get more accurate estimate of the covariance, the optimal unbiased converted measurement error covariance is derived in the mean-square sense for 3-D radar case. |
| Keywords: | Kalman filter CMKF unbiased CMKF covariance estimate |
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