| Yu Huagang (禹华钢),Huang Gaoming,Gao Jun.[J].高技术通讯(英文),2013,19(2):197~202 |
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| Multiple moving sources passive location based on multiset canonical correlation analysis |
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| DOI： |
| 中文关键词: |
| 英文关键词: multiset canonical correlation analysis (MCCA), blind source separation (BSS), time difference of arrival (TDOA), frequency difference of arrival (FDOA), passive location, multiple sources |
| 基金项目: |
| Author Name | Affiliation | | Yu Huagang (禹华钢) | | | Huang Gaoming | | | Gao Jun | |
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| 中文摘要: |
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| 英文摘要: |
| To solve the problem of multiple moving sources passive location, a novel blind source separation (BSS) algorithm based on the multiset canonical correlation analysis (MCCA) is presented by exploiting the different temporal structure of uncorrelated source signals first, and then on the basis of this algorithm, a novel multiple moving sources passive location method is proposed using time difference of arrival (TDOA) and frequency difference of arrival (FDOA) measurements. The key technique of this location method is TDOA and FDOA joint estimation, which is based on BSS. By blindly separating mixed signals from multiple moving sources, the multiple sources location problem can be translated to each source location in turn, and the effect of interference and noise can also be removed. The simulation results illustrate that the performance of the MCCA algorithm is very good with relatively light computation burden, and the location algorithm is relatively simple and effective. |
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