Abstract
In radar detection, weak targets’ range migration often happens during long time integration. To detect weak targets effectively, an improved axis rotation moving target detection (IAR-MTD) is introduced and analysed in detail. IAR-MTD can detect weak targets by compensating the linear part of range migration via the axis rotation and coherently integrating the echoes via moving target detection (MTD). Then the realization of IAR-MTD is derived. Furthermore, the coherent integration gain of IAR-MTD is analysed, which is better than that of traditional MTD, Radon–Fourier transform (RFT) and Keystone transform (KT). Subsequently, to decrease the computational complexity of IAR-MTD, some suggestions are given. Besides, unambiguous Doppler estimation, the tolerance of acceleration, and the multi-target detection of IAR-MTD are analysed respectively. Finally, some numerical experiments are provided to show the performance of IAR-MTD in different conditions and testify the advantages of IAR-MTD over MTD, RFT and KT. The result indicates that IAR-MTD may effectively detect the weak moving targets with constant radial velocity and it is compatible with MTD radar system.
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Bao, Z. (1999). Long time coherent integration of radar signal. In Proceedings of the 7th radar conference of China (pp. 9–15).
Barton, D. K. (2004). Radar system analysis and modeling (1st ed., p. 158). Beijing: China Electronics Industry Press.
Boers, Y., & Driessen, J. N. (2001). Particle filter based detection for tracking. In Proceedings of the 2001 American control conference (pp. 4393–4397).
Boers, Y., & Driessen, J. N. (2003). Particle-filter-based track before detect algorithms. In Proceedings of the conference on signal and data processing of small targets (pp. 20–30).
Boers, Y., & Driessen, J. N. (2004). Multitarget particle filter track before detect application. IEE Proceedings-Radar Sonar and Navigation, 151(6), 351–357.
Carlson, B. D., Evans, E. D., & Wilson, S. L. (1994a). Search radar detection and track with the Hough transform part I: System concept. IEEE Transactions on Aerospace and Electronic Systems, 30(1), 102–108.
Carlson, B. D., Evans, E. D., & Wilson, S. L. (1994b). Search radar detection and track with the Hough transform part II: Detection statistics. IEEE Transactions on Aerospace and Electronic Systems, 30(1), 109–115.
Carlson, B. D., Evans, E. D., & Wilson, S. L. (1994c). Search radar detection and track with the Hough transform part III: Detection performance with binary integration. IEEE Transactions on Aerospace and Electronic Systems, 30(1), 116–125.
Carretero-Moya, J., Gismero-Menoyo, J., & Asensio-Lopez, A. (2009a). Application of the Radon transform to detect small-targets in sea clutter. IET Radar Sonar and Navigation, 3(2), 155–166.
Carretero-Moya, J., Gismero-Menoyo, J., & Asensio-López, A., et al. (2009). A coherent radon transform for small target detection. In IEEE Radar conference (pp. 4–8)
Deng, X., Pi, Y., & Morelande, M. (2011). Track-before-detect procedures for low pulse repetition frequency surveillance radars. IET Radar Sonar and Navigation, 5(1), 65–73.
Du, L., Liu, H. W., & Bao, Z. (2004). A raid cluster resolution scheme based on joint range-Doppler processing. Acta Electronic Sinica, 32(6), 881–885.
Grossi, E., Lops, M., & Venturino, L. (2001). A novel dynamic programming algorithm for track-before-detect in radar systems. IEEE Transactions on Signal Processing, 61(10), 2608–2619.
Mahafza, B. R. (2003). MATLAB simulations for radar systems design (1st ed.). Boca Raton: CRC Press.
Perry, R. P., Dipietro, R. C., & Fante, R. L. (1999). SAR imaging of moving targets. IEEE Transactions on Aerospace and Electronic Systems, 35(1), 188–200.
Perry, R. P., Dipietro, R. C., & Fante, R. L. (2007). Coherent integration with range migration using Keystone formatting. In Proceedings of the IEEE radar conference.
Qi, L., Tao, R., & Zhou, S. Y. (2003). Detection and parameter estimation of LFM signal based on fractional Fourier transform. Scientia Sinica Technology, 33(8), 749–759.
Qiang, Y., Jiao, L. C., & Bao, Z. (2002). Study on mechanism of dynamic programming algorithm for dim target detection. In Proceedings of thee 6th international conference on signal processing (pp. 1403–1406).
Rao, X., Tao, H. H., Su, J., et al. (2014). Axis rotation MTD algorithm for weak target detection. Digital Signal Processing, 26(3), 81–86.
Rao, X., Tao, H. H., Su, J., et al. (2015). Detection of constant radial acceleration weak target via IAR-FRFT. IEEE Transactions on Aerospace and Electronic Systems, 51(4), 3242–3253.
Richards, M. A. (2005). Fundamentals of radar signal processing (1st ed., pp. 225–294). New York: McGraw-Hill Press.
Skolnik, M. I. (2002). Introduction to radar system (2nd ed., pp. 141–148). New York: McGraw-Hill Press.
Skolnik, M. I., Linde, G., & Meads, K. (2001). Senrad: An advanced wideband air-surveillance. IEEE Transactions on Aerospace and Electronic Systems, 37(4), 1163–1175.
Tao, R., Li, Y. L., & Wang, Y. (2010). Short-time fractional Fourier transform and its applications. IEEE Transactions on Signal Processing, 58(5), 1163–1175.
Wang, J. F., & Liu, X. Z. (2010). Automatic correction of range migration in SAR imaging. IEEE Geoscience and Remote Sensing Letters, 7(2), 256–260.
Wang, J., & Zhang, S. H. (2000). Weak target integration detection and envelope shifting compensation method. Acta Electronica Sinica, 28(12), 56–59.
Xu, S. W., Shui, P. L., & Cao, Y. H. (2015). Adaptive range-spread maneuveringtarget detection incompound-Gaussian clutter. Digital Signal Processing, 36, 46–56.
Xu, J., Yu, J., Peng, Y. N., et al. (2011a). Radon–Fourier transform (RFT) for radar target detection, I: generalized Doppler filter bank. IEEE Transactions on Aerospace and Electronic Systems, 47(2), 1186–1202.
Xu, J., Yu, J., Peng, Y. N., et al. (2011b). Radon–Fourier transform for radar target detection (II): Blind speed sidelobe suppression. IEEE Transactions on Aerospace and Electronic Systems, 47(4), 2473–2489.
Yu, J., Xu, J., Peng, Y. N., et al. (2012). Radon–Fourier transform for radar target detection (III): Optimality and fast implementations. IEEE Transactions on Aerospace and Electronic Systems, 48(2), 991–1004.
Zhang S. S., & Zeng, T. (2005). Dim target detection based on Keystone transform. In Proceedings of the IEEE international radar conference (pp. 889–894).
Zhang, S. S., & Zeng, T. (2005). Weak target detection based on Keystone transform. Acta Electronic Sinica, 33(9), 1675–1678.
Zhu, S. Q., Liao, G. S., Qu, Y., et al. (2011). Ground moving targets imaging algorithm for synthetic aperture radar. IEEE Transactions on Geoscience and Remote Sensing, 49(1), 462–477.
Acknowledgement
The authors would like to acknowledge the anonymous reviewers and the Associate Editor for their very helpful and useful suggestions, which have considerably improved the quality of the manuscript. This work is supported by the Program for Changjiang Scholars and Innovative Research Team in University (IRT0954), National Nature Science Foundation of China (NSFC) under Grants 61661035 and 61761031, Aerospace Science Foundation under Grants 2015ZC56005, SAST2017106, the Doctoral Scientific Research Foundation of NCHU under Grant EA201804195, and in part by the China Scholarship Council and was done when RAO was visiting the University of Delaware, Newark, DE 19716, USA.
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Rao, X., Zhong, T., Tao, H. et al. Improved axis rotation MTD algorithm and its analysis. Multidim Syst Sign Process 30, 885–902 (2019). https://doi.org/10.1007/s11045-018-0588-y
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DOI: https://doi.org/10.1007/s11045-018-0588-y