Abstract
Aiming at the properties of radar and infrared target, a new algorithm of radar and IR data fusion is proposed based on the angle of information through analyzing the application of ambiguity function in the multi-sensor data fusion algorithm. This algorithm can effectively strengthen the system robustness and improve the tracking precision. Simulation results show that the ambiguity function is superior to other algorithms in performance and is a simple and effective data fusion algorithm.
| Original language | English |
|---|---|
| Title of host publication | IET International Radar Conference 2009 |
| Edition | 551 CP |
| DOIs | |
| Publication status | Published - 2009 |
| Event | IET International Radar Conference 2009 - Guilin, China Duration: 20 Apr 2009 → 22 Apr 2009 |
Publication series
| Name | IET Conference Publications |
|---|---|
| Number | 551 CP |
Conference
| Conference | IET International Radar Conference 2009 |
|---|---|
| Country/Territory | China |
| City | Guilin |
| Period | 20/04/09 → 22/04/09 |
Keywords
- Data fusion
- Fuzzy mathematics
- Infrared
- Radar
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Zhu, M. Y., & Yang, Y. L. (2009). A fuzzy fusion algorithm for radar/infrared sensors. In IET International Radar Conference 2009 (551 CP ed.). (IET Conference Publications; No. 551 CP). https://doi.org/10.1049/cp.2009.0454