© The Institution of Engineering and Technology
Owing to the vulnerability of synthetic aperture radar (SAR) system to interferences, effective interference suppression has been an urgent task for SAR imaging. In this work, a novel timevarying narrowband interference and wideband interference suppression method is presented based on timefrequency reconstruction and mask technique. This method consists of four key stages. First, the authors present an efficient signal reconstruction method (ESRM) based on eigenvalue decomposition from the Wigner distribution. Next, echoes contaminated by the interference are identified in the frequency domain and the jamming components are obtained by using the mask technique in timefrequency plane. Then, the ESRM is applied to quickly and accurately synthesise interference signals by incorporating the principle of energy minimum without the need of the prior knowledge of the interference. Finally, the interference components are subtracted from the echoes in data domain, and the wellfocused SAR image is obtained by conventional imaging algorithm. Results of simulated and measured data prove the validity of the proposed method.
References


1)

1. Soumekh, M.: ‘Synthetic aperture radar signal processing with MATLAB algorithms’ (Wiley, New York, 1999).

2)

2. Carrara, W.G., Goodman, R.S., Majewski, R.M.: ‘Spotlight synthetic aperture radarsignal processing algorithms’ (Artech House, New York, 1995).

3)

4. Song, X., Willett, P., Zhou, S., Luh, P.B.: ‘The MIMO radar and jammer games’, IEEE Trans. Signal Process., 2012, 60, (2), pp. 687–699 (doi: 10.1109/TSP.2011.2169251).

4)

4. Potsis, A., Reigber, A., Sutor, T., Papathanassiou, K.P.: ‘A phase preserving method for RF interference suppression in Pband synthetic aperture radar interferometric data’. Proc. IGARSS, 1999, pp. 2655–2657.

5)

5. Vu, V.T., Sjögren, T.K., Pettersson, M.I., Håkansson, L.: ‘RFI suppression in ultrawideband SAR using an adaptive line enhancer’, IEEE Geosci. Remote Sens. Lett., 2010, 7, (4), pp. 694–698 (doi: 10.1109/LGRS.2010.2045633).

6)

R.T. Lord ,
M.R. Inggs
.
Efficient RFI suppression in SAR using LMS adaptive filter integrated with range/Doppler algorithm.
Electron. Lett.
,
8 ,
629 
630

7)

A. Reigber ,
L.F. Famil
.
Interference suppression in synthesized SAR images.
IEEE Geosci. Remote Sens. Lett.
,
2 ,
45 
49

8)

F. Zhou ,
R. Wu ,
M. Xing ,
Z. Bao
.
Eigensubspacebased filtering with application in narrowband interference suppression for SAR.
IEEE Geosci. Remote Sens. Lett.
,
1 ,
75 
79

9)

9. Ulug, B.: ‘An algorithm for sinusoidal interference reduction using iterative maximum likelihood estimation techniques’. IEE Proc. on Radar, Sonar and Navigation, 2008, 122, (2), pp. 106–223.

10)

10. Zhou, F., Tao, M.L., Bai, X.R.: ‘Narrowband interference suppression for SAR based on independent component analysis’, IEEE Trans. Geosci. Remote Sens., 2013, 51, (10), pp. 4952–4960 (doi: 10.1109/TGRS.2013.2244605).

11)

11. Tao, M.L., Zhou, F., Liu, J.Q.: ‘Narrowband interference mitigation for SAR using independent subspace analysis’, IEEE Trans. Geosci. Remote Sens., 2014, 52, (9), pp. 5289–5301 (doi: 10.1109/TGRS.2013.2287900).

12)

17. Zhou, F., Sun, G., Bai, X., Bao, Z.: ‘A novel method for adaptive SAR barrage jamming suppression’, IEEE Geosci. Remote Sens. Lett., 2012, 9, (2), pp. 292–296 (doi: 10.1109/LGRS.2011.2166753).

13)

H. Zhou ,
B.Y. Wen ,
S.C. Wu
.
Dense radio frequency interference suppression in HF radars.
IEEE Signal Process. Lett.
,
5 ,
361 
364

14)

14. Zhou, F., Xing, M.D., Xing, , Bai, X.R.: ‘Narrowband interference suppression for SAR based on complex empirical mode decomposition’, IEEE Geosci. Remote Sens. Lett., 2009, 6, (2), pp. 423–427 (doi: 10.1109/LGRS.2009.2015340).

15)

15. Zhang, S.X., Xing, M.D., Guo, R.: ‘Interference suppression algorithm for SAR based on timefrequency transform’, IEEE Trans. Geosci. Remote Sens., 2011, 49, (10), pp. 3765–3779 (doi: 10.1109/TGRS.2011.2164409).

16)

16. Ma, X., Qing, J., He, Z.: ‘Threechannel cancellation of SAR blanketing jamming suppression’, Acta Electron. Sin., 2007, 35, (6), pp. 1015–1020.

17)

17. Wang, H., Chen, C., Han, F., Gan, Z.: ‘A comparative analysis of adaptive beamforming algorithms for satellite multiplebeam antennas’, Acta Electron. Sin., 2001, 29, (3), pp. 358–260.

18)

18. Sergio, B., Anna, S.: ‘Adaptive timevarying cancellation of wideband interference in spreadspectrum communications based on timefrequency distributions’, IEEE Trans. Signal Process., 1999, 47, (4), pp. 957–965 (doi: 10.1109/78.752594).

19)

L.J. Stanković ,
T. Thayaparan ,
M. Daković
.
Signal decomposition by using the Smethod with application to the analysis of HF radar signals in seaclutter.
IEEE Trans. Signal Process.
,
11 ,
4332 
4342

20)

20. Bourdeaux, G.F.: ‘Timevarying signal processing using Wigner distribution synthesis techniques’, in The wigner distributiontheory and applications in signal processing (Elsevier, Netherlands, 1997).

21)

R. Bamler
.
A comparison of rangeDoppler and wavenumber domain SAR focusing algorithms.
IEEE Trans. Geosci. Remote Sens.
,
4 ,
706 
713

22)

22. Cumming, I.G., Wong, F.H.: ‘Digital processing of synthetic aperture radar data’ (Artech House, Norwood, 2005).
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