Abstract
With the popularization of civil radar application, it has great development potential in the situations of earthquake disasters and engineering accidents, such as personnel search and rescue, medical detection, and urban anti-terrorism. A civil radar echo signal processing method based on Kalman filter algorithm is designed. The Kalman filter algorithm is used to suppress the noise of the acquired radar echo signal. According to the amount of information obtained for the target being explored in different stages, target detection is regarded as the second stage of civil radar echo signal processing. Based on the Faster R-CNN detection framework, the context information and multi-scale Faster R-CNN target detection method are designed to determine the presence or absence of the target based on the denoised signal. Implement reference signal reconstruction, multipath clutter suppression, target location and tracking, and obtain some basic parameters to determine the target. The test results show that the tracking distance error of this method for stationary target, inching target and moving target is small.
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References
Zhang, R., Huang, C., Li, Z., et al.: Maritime moving target detection technique via space-time integration of passive radar with geosynchronous illuminator. J. Sig. Process. 38(7), 1405–1415 (2022)
Zhao, T., Zheng, Y., Yang, L., et al.: A translation compensation method for ISAR based on second-order WVD. J. Sig. Process. 38(4), 870–878 (2022)
Buzzi, S., Grossi, E., Lops, M., Venturino, L.: Radar target detection aided by reconfigurable intelligent surfaces. IEEE Sig. Process. Lett. 28, 1315–1319 (2021)
Delgado, A.V., Sanchez-Fernandez, M., Venturino, L., et al.: Super-resolution in automotive pulse radars. IEEE J. Sel. Top. Sig. Process. 15, 913–926 (2021)
Huang, P., Xia, X.-G., Zhan, M., Liu, X., Liao, G., Jiang, X.: ISAR imaging of a maneuvering target based on parameter estimation of multicomponent cubic phase signals. IEEE Trans. Geosci. Remote Sens. 60, 1–18 (2022). https://doi.org/10.1109/TGRS.2021.3091645
Peters, S.T., Schroeder, D.M., Haynes, M.S., et al.: Passive synthetic aperture radar imaging using radio-astronomical sources. IEEE Trans. Geosci. Remote Sens. 59, 9144–9159 (2021)
Fedorov, R., Berngardt, O.: Monitoring observations of meteor echo at the EKB ISTP SB RAS radar: algorithms, validation, statistics. Solar-Terrestrial Phys. 7(1), 47–58 (2021)
Ji, X.X., Sun, Y.: SAR Image target recognition based on monogenic signal and sparse representation. Wirel. Commun. Mob. Comput. 2021(2), 1–11 (2021)
Chen, S., Pan, M.: Analytical model and real-time calculation of target echo signals on wideband LFM radar. IEEE Sens. J. 21, 10726–10734 (2021)
Cai, J., Wang, R., Hu, C.: Maneuvering targets radar detection based on minimum entropy. J. Sig. Process. 38(7), 1416–1423 (2022)
Zhang, R., Meng, C., Wang, C., et al.: Compressed sensing reconstruction of radar echo signal based on fractional Fourier transform and improved fast iterative shrinkage-thresholding algorithm. Wirel. Commun. Mob. Comput. 2, 1–15 (2021)
Zhang, T., Ren, J., Li, J., Nguyen, L.H., Stoica, P.: Joint RFI mitigation and radar echo recovery for one-bit UWB radar. Sig. Process. 193, 108409 (2022)
Rommel, T., Huber, S., Younis, M., et al.: Matrix pencil method for topography-adaptive digital beam-forming in synthetic aperture radar. IET Radar Sonar Navig. 10, 15 (2021)
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© 2024 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Pan, J. (2024). Processing Method of Civil Radar Echo Signal Based on Kalman Filter Algorithm. In: Yun, L., Han, J., Han, Y. (eds) Advanced Hybrid Information Processing. ADHIP 2023. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 548. Springer, Cham. https://doi.org/10.1007/978-3-031-50546-1_5
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DOI: https://doi.org/10.1007/978-3-031-50546-1_5
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