access icon openaccess Dynamic mainlobe interference suppression method based on monopulse with gray model Kalman filter

This is an open access article published by the IET under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/)
Received 19/02/2019, Accepted 02/05/2019, Published 10/07/2019

The architecture and processing algorithm of mainlobe interference suppression method is described for nulling the signal from mainlobe electronic jammer and multiple sidelobe electronic jammers while maintaining monopulse angle estimation accuracy on the target. The existing mainlobe interference suppression method is based on monopulse Wiener filtering. However, the Wiener filtering is more suitable to remove static interference. Therefore, the authors present the dynamic mainlobe interference suppression method with Gray Model Kalman filter to resolve this problem. The simulations verify the proposed method.

Inspec keywords: Kalman filters; Wiener filters; adaptive antenna arrays; adaptive signal processing; radar signal processing; interference suppression; jamming; array signal processing

Other keywords: dynamic mainlobe interference suppression method; multiple sidelobe electronic jammers; monopulse Wiener filtering; monopulse angle estimation accuracy; existing mainlobe interference suppression method; architecture; processing algorithm; gray model Kalman filter; mainlobe electronic jammer; Gray Model Kalman filter; static interference

Subjects: Radar theory; Radar equipment, systems and applications; Military detection and tracking systems; Signal processing and detection; Electromagnetic compatibility and interference; Antenna arrays

References

    1. 1)
      • 4. Yu, K.B., Murrow, D.J.: ‘Adaptive digital beamforming for angle estimation in jamming’, IEEE Trans. Aerosp. Electron. Syst., 2002, 37, (2), pp. 508–523.
    2. 2)
      • 1. Su, B., Wang, Y., Zhou, L., et al: ‘A mainlobe interference cancelling method’. IEEE Int. Symp. on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, MAPE 2005, Beijing, People's Republic of China, 2005, vol. 1, pp. 23–26.
    3. 3)
      • 6. Tonghui, Z., Yiwei, Q.: ‘The study of monopulse angle measurement in mainlobe interference environment’, Radio Eng., 2016, 12, pp. 26–30.
    4. 4)
      • 2. Li, G., Song, D., Xu, R.: ‘A mainlobe interference suppression system based on mismatched filtering’. 2nd Int. Conf. on Computer Engineering and Technology (ICCET 2010), Chengdu, People's Republic of China, 2010, vol. 7, pp. 4486–4491.
    5. 5)
      • 5. Anqi, X., Chanjuan, Z., Jin, H.: ‘The study of mainlobe interference countermeasure of four-channel monopulse angle measurement’, Radio Eng., 2016, 46, (2), pp. 41–43.
    6. 6)
      • 7. Jianfeng, T.: ‘The application of grey model forecast methods in tracking Kalman filter’. 2007 Academic Conf. Proc. System Simulation Technology and Its Application.Professional Committee of The Chinese Society of Automation System Simulation, Simulation Application of Professional Committee of Chinese Society for System Simulation, 2007, vol. 9.
    7. 7)
      • 9. Xiaolei, Z.: ‘Tracking algorithm and performance analysis of moving target research of marine radar based on Kalman filter’, (Dalian Maritime University, People's Republic of China, 2011).
    8. 8)
      • 3. Hao, Z., Luo, M.: ‘Adaptive mainlobe interference suppression method for STAP airborne radar’. IET Int. Radar Conf., Xi'an, People's Republic of China, 2013, pp. 1–4.
    9. 9)
      • 10. Huiying, W., Jianmin, X, Hui, F.: ‘Prediction algorithm of Kalman filter based on gray correlation analysis’, J. South China Univ. Sci. Technol., Nat. Sci. Ed., 2006, 9, pp. 66–75.
    10. 10)
      • 8. Xuebin, W., Jjianhong, X., Zhang, Z.: ‘The study of parameter analysis and application of Kalman filter’, Comput. Appl. Softw., 2012, 6, pp. 212–215.
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