Computer Science
4 years ago

Unscented Kalman Filter Outperforms Extended Kalman Filter in Target Tracking.

IOP Conference Series Materials Science and Engineering
Comparative Study on Application of Extended Kalman Filter and Unscented Kalman Filter in Target Tracking
Xiao-Tong Hu Xiao-Fei Deng, Si-Qi Zhao Qin Guo Cui-Xia Zeng, Kai-Qing Zhou

Paper Summary

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The article compares two methods, Extended Kalman Filter and Unscented Kalman Filter, for tracking targets. By using Matlab software, the researchers found that the Unscented Kalman Filter is more accurate and converges better than the Extended Kalman Filter.