Abstract
A new method for target motion parameter estimation is presented in this paper. A new objective function is proposed to avoid phase unwrapping procedure in the original method. The proposed method is more robust and accurate than the original one because it does not introduce any extra errors. To find a global optimum value, DE algorithm with a modification for constrained optimization problem has been applied. The effectiveness of the proposed method is demonstrated by computer simulations.
Original language | English |
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Title of host publication | Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03 |
Pages | 563-566 |
Number of pages | 4 |
DOIs | |
Publication status | Published - 2003 |
Event | 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03 - Nanjing, China Duration: 14 Dec 2003 → 17 Dec 2003 |
Publication series
Name | Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03 |
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Volume | 1 |
Conference
Conference | 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03 |
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Country/Territory | China |
City | Nanjing |
Period | 14/12/03 → 17/12/03 |
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Wei, G., Wu, S., & Mao, E. (2003). Differential evolution for target motion parameter estimation. In Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03 (pp. 563-566). Article 1279335 (Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03; Vol. 1). https://doi.org/10.1109/ICNNSP.2003.1279335