Abstract
With the wide use of electromagnetic spectrum, the electromagnetic environment becomes more and more complicated. Complex electromagnetic environment will pose a severe challenge to radar system. Modern intelligent radar should provide feedback from receiver to transmitter, and transmit waveform according to working environment. Adaptive algorithm is the core problem of radar feedback. In this paper, after analysis of feedback in intelligent radar and adaptive filtering, we propose a novel variable forgetting factor based least square algorithm based on feedback system. In simulations, we compare the performances of vector estimation error, signal recovery, and equalization. Simulation results demonstrate that performances of the proposed variable forgetting factor based least square algorithm are better than traditional least square algorithm. Finally, the whole paper is summarized.
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Acknowledgement
This work was supported by the National Natural Science Foundation of China (No. 61403067).
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Wang, B. (2018). Variable Forgetting Factor Based Least Square Algorithm for Intelligent Radar. In: Qiao, F., Patnaik, S., Wang, J. (eds) Recent Developments in Mechatronics and Intelligent Robotics. ICMIR 2017. Advances in Intelligent Systems and Computing, vol 690. Springer, Cham. https://doi.org/10.1007/978-3-319-65978-7_33
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DOI: https://doi.org/10.1007/978-3-319-65978-7_33
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