Abstract
With the increasing complexity of radar waveform design, traditional radar signals such as fixed-frequency, jagged, and jitter are becoming less and less common in modern radar design, and complex repeat frequency patterns such as agile and random repeat frequency become the current radar. Therefore, the sorting algorithm based on PRI has been difficult to adapt to the radar signal sorting of complex systems. In addition, the PRI-based sorting algorithm also has the problems of slow speed and poor sorting effect. In contrast, multi-parameter-based sorting method could achieve better results.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Liu, X., Si, X.: A new method for radar signal sorting. Syst. Eng. Electron. 32(1), 53–56 (2010)
Wang J., Lei P., Yang D. et al.: A novel deinterleaving algorithm of radar pulse signal based on DSP. In: IEEE International Symposium on Industrial Electronics (ISIE 2009), Seoul, Korea, 5–8 July, pp. 1899–1903 (2009)
Fuhua, F., Xuezhong Y.: Improved method for deinterleaving radar pulse trains with stagger PRI from dense pulse series. In: 2nd International Conference on Signal Processing Systems (ICSPS), Dalian, China, 5–7 July, pp. V3-250–V3-253 (2010)
Wang, B., Chen, Q., Wang, C.: Clustering-based frequency hopping signal sorting. J. Beijing Univ. Posts Telecom 32(2), 80–84 (2009)
Wilkinson, D.R., Watson, A.: Use of metric techniques in ESM data processing. IEE Proc. Part F Radar Sig. Process. 132(7), 121–125 (1985)
Hassan, H.E.: A new algorithm for radar emitter recognition. In: Proceedings of the 3rd ISISPA, vol. 2, pp. 1097–1101 (2003)
Jin, D., Wen, Z., Li, H.: Application of DBSCAN algorithm in radar full pulse signal sorting. Electron. Countermeasure 2, 19–22 (2011)
Nelson, D.J.: Special purpose correlation functions for improved signal detection and parameter estimation. In: International Conference on Acoustics, Speech, and Signal Processing (ICASSP’93), pp. 73–76 (1993)
Nishinuchi, K., Kobayashi, M.: Improved algorithm for estimating pulse repetition intervals. IEEE Trans. Aerosp. Electron. Syst. 36, 407–421 (2000)
Han, J., He, M.-H., Yan, W.-J. et al.: Radar signal sorting based on PRI transform and wavelet transform. J. Microcomput. 23(9), 164–166 (2007)
Zou, S., Zhang, Q., Yan, X.: Radar signal sorting based on PRI transform. Comput. Simul. 23(6), 41–44 (2006)
Chang, W., Wang, J., Wu, P.: Efficient PRI transform algorithm for DSP parallel processing. Aerosp. Electron. Front 24(1), 50–53 (2008)
Han, J., He, M., Cheng, B.: An improved PRI transform algorithm. Electron. Warfare 124, 25–29 (2009)
Wang, Z.L., Zhang, D.F., Bi, D.Y., et al.: Multiple-parameter radar signal sorting using support vector clustering and similitude entropy index. Circ. Syst. Sig. Process. 33(6), 1985–1996 (2014)
Ben-Hur, A., Horn, D., Siegelmann, H.T., et al.: Support vector clustering. J. Mach. Learn. Res. 2, 125–137 (2001)
Acknowledgements
This paper was supported in part by the National Natural Science Foundation of China under the Grant No. 61601499, 61701527, and 61601503.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Wang, Sq., Gao, C., Li, X., Zeng, Hy., Bai, J. (2020). Comparison of Radar Signal Sorting Method Between Single and Multi-parameter Based on. In: Jain, V., Patnaik, S., Popențiu Vlădicescu, F., Sethi, I. (eds) Recent Trends in Intelligent Computing, Communication and Devices. Advances in Intelligent Systems and Computing, vol 1006. Springer, Singapore. https://doi.org/10.1007/978-981-13-9406-5_103
Download citation
DOI: https://doi.org/10.1007/978-981-13-9406-5_103
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-9405-8
Online ISBN: 978-981-13-9406-5
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)