A Novel Sorting Method Based on Auto-correlation Function of Coherent Radar Signal
Journal of Electrical and Electronic Engineering
Volume 5, Issue 2, April 2017, Pages: 48-52
Received: Apr. 5, 2017; Published: Apr. 6, 2017
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Wei Qing-yun, Air Force Early Warning Academy, Wuhan, China
Chen Bei, Air Force Early Warning Academy, Wuhan, China
Wang Jing, Spic Central Research Institute, Beijing, China
Han Jun, Air Force Early Warning Academy, Wuhan, China
Tang Yu-wen, Air Force Early Warning Academy, Wuhan, China
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In order to solve the increasing-batch problem in signal sorting, a novel sorting method based on auto-correlation function of coherent radar signal is proposed. By using the instantaneous auto-correlation function of coherent signal, the discrimination model of ratio of peak values was built and applied in sorting simulation. Simulation results show that the proposed approach can solve the Increasing-batch problem for CW, LFM, NLFM one sorting when the signal-to-noise rate (SNR) above 5dB. The validity of the approach is demonstrated by experimental results.
Sorting, Coherency, Auto-correlation Function, Ratio of Peak Values
To cite this article
Wei Qing-yun, Chen Bei, Wang Jing, Han Jun, Tang Yu-wen, A Novel Sorting Method Based on Auto-correlation Function of Coherent Radar Signal, Journal of Electrical and Electronic Engineering. Vol. 5, No. 2, 2017, pp. 48-52. doi: 10.11648/j.jeee.20170502.14
Guo Qiang, Zhang Xingzhou, Li Zheng. A new feature extraction method for radar pulse sequences [J]. Journal of Harbin Institute of Technology, 2006, 38 (1): 130-133.
Nishguchi K, Kobayashi M. Improved algorithm for estimating pulse repetition intervals [J]. IEEE Trans on AES, 2000, 36(2): 407-421.
Pu Yunwei, Jin Weidong, Zhu Ming, Hu Laizhao. Extracting the main ridge slice characteristics of ambiguity function for radar emitter signals [J]. Journal of Infrared and Millimeter Waves, 2008, 27(2): 133-137.
Zhu Ming, Jin Weidong, Hu Laizhao. Cascade feature Extraction for Radar Emitter Signals Based on Atomic Decomposition [J]. Journal of Southwest Jiaotong University, 2007, 42(6): 659-664.
Hu Hongying, Kang Jing, and Guan Lina. Instantaneous frequency estimation based on empirical mode decomposition [C]. Proceedings of the 7th Wor1d Congress on Intelligent Control and Automation, Chongqing, China, June 25-27, 2008.
Huang Zhitao, Zhou Yiyu, Jiang Wenli. The automatic analysis of intrapulse modulation characte- ristics based on the relatively non-ambiguity phase restoral [J]. Journal on Communications, 2003, 24(4): 153-160.
Han Jun, He Minghao, Zhu Yuanqing, Mao Yan. Sorting of Radar Emitter Based on Multi-Parameters [J]. Journal of Data Acquisition & Processing, 2009, 24(1): 91-94.
Meng Xianghao, Luo Jingqing. Radar Signal Sorting Based on Compositive Characteristic Parameter and Pulse Pattern [J]. Fire Control & Command Control, 2012, 37(9): 50-54.
Li Yaojun, Li Ping, Chu Fulei. Multi-vibration signal data fusion method based on correlation function [J]. Journal of Vibration, Measurement & Diagnosis, 2009, 29(2): 179-183.
Zhao Guoqing. Principle of Radar Countermeasure [M]. Xian: Xian university of electronic science and technology press, 1999.
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