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Optimization of Adaptive MTI Filter
College of Information and Communication Engineering, Harbin Engineering University, Harbin, China
College of Information and Communication Engineering, Harbin Engineering University, Harbin, China
College of Information and Communication Engineering, Harbin Engineering University, Harbin, China
- 1 College of Information and Communication Engineering, Harbin Engineering University, Harbin, China
- 2 College of Information and Communication Engineering, Harbin Engineering University, Harbin, China
- 3 College of Information and Communication Engineering, Harbin Engineering University, Harbin, China
International Journal of Communications, Network and System Sciences·Volume 10 (2017)·Pages 206–217·Published 14 August 2017·DOI10.4236/ijcns.2017.108B022
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Abstract
Moving target indication (MTI) is an effective means for radar to find moving targets in clutter environment. This paper introduces the basic principles of MTI, how to avoid the blind speed problem and the optimization of MTI filter. Implementing the multi-notch adaptive moving target indication (AMTI) filter that designed by using the stagger code in varied cases, which is based on a feature vector method optimization.
KeywordsAdaptive Moving Target Indication (AMTI)Stagger CodeFeature Vector MethodMulti-Notch
- Geng, F.L. (2006) Radar Principle. Xi’an University of Electronic Science and Technology Press, Xi’an.
- Wu, S.J. and Mei, X.C. (2008) Radar Signal Pro-cessing and Data Processing Technology. Electronic Industry Press, Beijing, 106-134.
- Yuan, B.H., Zhang, W.X. and Zhong, X.K. (2017) Reconfigurable Multi-Channel Radar Transmitter Based on SDR. Applied Science and Technolo-gy.
- Chen, J.C. and Geng, F.L. (1999) An Adaptive Moving Clutter Rejec-tion Technique. J Xi’an Electronics Technology University, 26, 174-177.
- Yang, R. (2012) For the Cognitive Radar Waveform and Staggered Filter Optimization Algorithm. Xi’an University of Electronic Science and Technology.
- Sun, C., Li, M. and Tao, H.H. (2014) Design of Gradi-ent MTI Filter Based on Gradient Immune Algorithm. Journal of China Institute of Electronic Science and Technology, 1673-5692.
- Malanowski, M. (2006) Comparison of Adaptive Methods for Clutter Removal in PCL Radar. In-ternational Radar Symposium, Krakow, 24-26 May 2006, 1-4. https://doi.org/10.1109/IRS.2006.4338044
- Hu, L.X. (2013) Application of EMD Algorithm in Radar Clutter Suppression. Xi’an University of Electronic Science and Technology.
- Zhu, W. (2010) Research and Implementation of MTI & MTD in Some VHF Radar. Xi’an University of Electronic Science and Technology.
- Hu, K.X. (2006) Application of an Adaptive Clutter Rejection Technique in Radar. Modern Electronics Technique, 29, 24-26.