| 摘要: |
| 针对不同维度传感器数据融合问题，提出一种利用三维量测（同时含有距离和角度
信息）结果为不足维量测（仅有距离或仅有角度信息）构建假量测点和协方差的新方法。仿
真结果表明，该方法能够有效地利用不同维度的量测数据，明显提高目标的定位精度，具有
一定的应用价值。 |
| 关键词: 数据链 数据融合 差异维度 协方差矩阵 目标定位 |
| DOI： |
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| 基金项目: |
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| A new data-fusion algorithm for sensor measurements of different dimensions |
| SONG Wen-bin |
| () |
| Abstract: |
| Aiming at the data fusion problem of simultaneous sensor measurements of differe
nt dimensions,this paper proposes a new algorithm in which by use of the three d
imensional measurement (containing both distance and azimuth) a pseudomeasure
ment including target position and its corresponding covariance is constructed f
or the deficient dimensional measurement (only having distance or only having az
imuth). The computer simulation shows that it can use the data of different dime
nsions effectively and can improve the target location precision greatly.
The proposed algorithm has some applied value in the future. |
| Key words: data link data fusion different dimension covariance matrix target location |
