A non-adaptive space-time clutter canceller (NSCC) for multi-channel (MC) synthetic aperture radar (SAR) was proposed. First, a new three-part range equation was derived on the basis of the two-dimensional Taylor series expansion. Then, each part of the model was analysed. By compensating of the high-order coupling part and the compression of the Doppler extension part of the derived equation, the interlaced signal of a moving target and a clutter patch was easily separated in a space-time domain. The clutter signal in different pulses only contained a constant phase difference. Using radar parameters, the authors constructed a non-adaptive clutter canceller that prevented traditional space time adaptive processing (STAP) issues, such as secondary sample support, computational complexity burden, and unknown moving target information. Compared with the representative non-adaptive method, that is displaced phase centre antenna (DPCA), NSCC is robust to a small degree of parameter error. It can be applied when DPCA condition is not satisfied. The effectiveness of the proposed method was validations through simulation.

References

1. 1)
  - 22. Wang, C., Liao, G., Zhang, Q.: ‘First spaceborne SAR-GMTI experimental results for the Chinese gaofen-3 dual-channel SAR sensor’, Sensors, 2017, 17, pp. 2683–2708.
2. 2)
  - 10. Chen, Z., Zhou, Y., Zhang, L., et al: ‘A robust single data set-STAP algorithm’. Proc. IET Int. Radar Conf., Hangzhou, 2015, pp. 1–5.
3. 3)
  - 4. Guo, P., Tang, S., Zhang, L., et al: ‘Improved focusing approach for highly squinted beam steering SAR’, IET Radar Sonar Navig., 2016, 10, (8), pp. 1394–1399.
4. 4)
  - 1. Li, Y., Wang, T.: ‘Efficient imaging algorithm for spaceborne synthetic aperture radar/ground moving target indication systems’, IET Radar Sonar Navig., 2015, 9, (9), pp. 1354–1359.
5. 5)
  - 19. Li, X., Xing, M., Xia, X.G., et al: ‘Deramp space–time adaptive processing for multichannel SAR systems’, IEEE Geosci. Remote Sens. Lett., 2014, 1, (8), pp. 1448–1452.
6. 6)
  - 20. Zhang, L., Wang, G., Qiao, Z., et al: ‘Azimuth motion compensation with improved subaperture algorithm for airborne SAR imaging’, IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens., 2017, 10, (1), pp. 184–193.
7. 7)
  - 12. Da Silva, A.B.C., Baumgartner, S.V.: ‘A priori knowledge-based STAP for traffic monitoring applications: first results’. Proc. European Conf. on Synthetic Aperture Radar, Hamburg, 2016, pp. 211–215.
8. 8)
  - 14. Cumming, I.G., Wong, F.H.: ‘Digital processing of synthetic aperture radar data: algorithms and implementation’ (Artech House, Boston, MA, USA, 2005).
9. 9)
  - 21. Zhou, F., Wu, R., Xing, M., et al: ‘Approach for single channel SAR ground moving target imaging and motion parameter estimation’, IET Radar Sonar Navig.., 2007, 1, (1), pp. 59–66.
10. 10)
  - 5. Huang, Y., Liao, G., Xu, J., et al: ‘GMTI and parameter estimation via time-Doppler chirp-varying approach for single-channel airborne SAR system’, IEEE Trans. Geosci. Remote Sens., 2017, 55, (8), pp. 4367–4383.
11. 11)
  - 18. Yang, T., Li, Z., Suo, Z., et al: ‘Performance analysis for multichannel HRWS SAR systems based on STAP approach’, IEEE Geosci. Remote Sens. Lett., 2013, 10, (6), pp. 1409–1413.
12. 12)
  - 17. Chen, Z., Zhou, Y., Zhang, L., et al: ‘Ground moving target imaging and analysis for near-space hypersonic vehicle-borne synthetic aperture radar system with squint angle’, Remote Sens., 2018, 10, (12), pp. 1–25.
13. 13)
  - 3. Ward, J.: ‘Space time adaptive processing for airborne radar’. Tech. Rep. 1015, MIT Lincoln Laboratory, December 1994.
14. 14)
  - 15. Zhang, S., Xing, M., Xia, X.G., et al: ‘A robust imaging algorithm for squint mode multi-channel high-resolution and wide-swath SAR with hybrid baseline and fluctuant terrain’, IEEE J. Sel. Top. Signal Process., 2015, 9, (8), pp. 1583–1598.
15. 15)
  - 6. Wang, Y., Cao, Y., Peng, Z., et al: ‘Clutter suppression and GMTI for hypersonic vehicle borne SAR system with MIMO antenna’, IET Signal Process., 2017, 11, (8), pp. 905–915.
16. 16)
  - 8. Ender, J.H.G.: ‘Space-time processing for multichannel synthetic aperture radar’, Electron. Commun. Eng. J., 1999, 11, (1), pp. 29–38.
17. 17)
  - 23. Li, X., Feng, D., Liu, H., et al: ‘Two-dimensional pulse-to-pulse canceller of ground clutter in airborne radar’, IET Radar Sonar Navig., 2009, 3, (2), pp. 133–143.
18. 18)
  - 11. Zhu, S., Liao, G., Wang, W., et al: ‘Wideswath synthetic aperture radar ground moving targets indication with low data rate based on compressed sensing’, IET Radar Sonar Navig.., 2013, 7, (9), pp. 1027–1034.
19. 19)
  - 9. Yang, X., Liu, Y., Long, T.: ‘Robust non-homogeneity detection algorithm based on prolate spheroidal wave functions for space-time adaptive processing’, IET Radar Sonar Navig., 2013, 7, (1), pp. 47–54.
20. 20)
  - 7. Li, J., Huang, Y., Liao, G., et al: ‘Moving target detection via efficient ATI-GoDec approach for multichannel SAR system’, IEEE Geosci. Remote Sens. Lett., 2016, 13, (9), pp. 1320–1324.
21. 21)
  - 16. Tang, S., Lin, C., Zhou, Y., et al: ‘Processing of long integration time spaceborne SAR data with curved orbit’, IEEE Trans. Geosci. Remote Sens., 2018, 56, (2), pp. 888–904.
22. 22)
  - 13. Maori, D.C., Sikaneta, I.: ‘A generalization of DPCA processing for multichannel SAR/GMTI radars’, IEEE Trans. Geosci. Remote Sens., 2013, 51, (1), pp. 560–572.
23. 23)
  - 2. Baumgartner, S.V., Krieger, G.: ‘Simultaneous high-resolution wide-swath SAR imaging and ground moving target indication: processing approaches and system concepts’, IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., 2015, 8, (11), pp. 5015–5029.

Non-adaptive space-time clutter canceller for multi-channel synthetic aperture radar

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