Distributed And Parallel Multisensor Fusion In The Wavelet Domain
By combining the wavelet domain filtering and multisensor linear information fusion rule, we propose a new distributed and parallel algorithm for multisensor information fusion using the theory of wavelet domain multi-scale analysis. The proposed algorithm decomposes the single sensors information into different scale, and then estimates the target state in different scale; then the local state estimates are transmitted to the fusion-center to get the optimal information fusion estimate. The posterior Cramer-Rao lower bound (PCRLB) of the proposed algorithm is also given. An example of radar tracking system with three sensors is provided to illuminate the effectiveness of the method.
Wavelet domain Multi-sensor fusion Distributed fusion Information fusion CRLB.
Chen Shaodong Li Jianxun Jiang Xingtong
The 613th Institute A VIC-1,471009 Luoyang,China Department of Automation Shanghai Jiao Tong University Shanghai,China
国际会议
上海
英文
2501-2504
2009-11-20（万方平台首次上网日期，不代表论文的发表时间）