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SAR Super-Resolution Imaging Method Based on Spectral Estimation

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High-Resolution Microwave Imaging

Abstract

Super-resolution information processing technology of synthetic aperture radar uses super-resolution imaging algorithms, namely the use of high-resolution spectral estimation methods to alternate Fourier spectrum estimation method, the extrapolation of efficient signal spectrum or the adaptive weighting methods.

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References

  1. Barbarossa S, Marsili L, Mungari G (1996) SAR super-resolution imaging by signal subspace projection techniques. In: Proceedings of EUSAR’96, Konigswinter, Germany, pp 267–270

    Google Scholar 

  2. Odendaal JW, Bernard E, Pistorius CWI (1994) Two-dimensional superresolution radar imaging using the MUSIC algorithm. IEEE Trans Antennas Propag 42:1386–1391

    Article  Google Scholar 

  3. Pisarenko VF (1973) The retrieval of harmonics from a covariance function. Geophys J Roy Astron Soc 33:347–366

    Article  MATH  Google Scholar 

  4. Kumaresan R, Tufts DW (1983) Estimating the angle of arrival of multiple plane waves. IEEE Trans Aerosp Electron Syst 19:134–139

    Article  Google Scholar 

  5. Schmidt RO (1981) A signal subspce approach to multiple emitter location and spectral estimation. Stanford University, California

    Google Scholar 

  6. Schmidt RO (1986) Multiple Emitter Location and Signal Parameter Estimation. IEEE Trans Antennas Propag 34:243–258

    Google Scholar 

  7. Johnson DH (1982) The application of spectral estimation method to bearing estimation problems. Proc IEEE 70:1018–1028

    Article  Google Scholar 

  8. Hua YB (1994) High resolution imaging of continuously moving target using stepped frequency radar. IEEE Trans Signal Process 35:33–40

    MATH  Google Scholar 

  9. Roy R, KailathT (1986) ESPRIT-A subspace rotation approach to estimation of parameters of cisoids in noise. In: IEEE transactions on acoustics, speech and signal processing, vol ASSP-14. pp 1340–1342

    Google Scholar 

  10. Roy R, Kailath T (1987) Total least squares ESPRIT. In: Proceedings of 21st Asilomar conference on signal, system and computation, pp 297–301

    Google Scholar 

  11. Zoltowski M (1988) Novel techniques for estimating the array signal parameters based on matrix pencil, subspace rotation and total least squares. In: International conference on acoustics, speech, and signal processing, ICASSP-88, New York, NY, USA, pp 2861–2864

    Google Scholar 

  12. Zoltowski M, Stavinides D (1989) Sensor array signal processing via a Procrustes rotations based eign-analysis of the ESPRIT data pencil. IEEE Trans Acoust Speech Signal Process 37:832–861

    Article  Google Scholar 

  13. Jakobsson A, Marple Jr SL, Stoica P (1999) Efficient implementation of the 2-D capon spectral estimator. In: Conference record of the thirty-third asilomar conference on signals, systems, and computers, Pacific Grove, CA, USA, pp 432–436

    Google Scholar 

  14. Capon J (1969) High-resolution frequency-wavenumber spectrum analysis. In: Proceedings of the IEEE, pp 1408–1418

    Google Scholar 

  15. Jakobsson A, Marple SL Jr, Stoica P (2000) Computationally efficient two-dimensional Capon spectral analysis. IEEE Trans Signal Process 48:2651–2661

    Article  MATH  Google Scholar 

  16. Liu Z, Wu R, Li J (1999) Complex ISAR imaging of maneuvering targets via the capon estimator. IEEE Trans Signal Process 47:1262–1271

    Article  Google Scholar 

  17. Wang Y (2004) High-resolution spectral analysis: the missing data case. Ph.D. Thesis, University of Florida, Florida

    Google Scholar 

  18. Stoica P, Wang Z, Li J (2003) Robust Capon beamforming. IEEE Signal Process Lett 10:172–175

    Article  Google Scholar 

  19. Benitz GR (1997) High-definition vector imaging. Lincoln Lab J 10:147–169

    Google Scholar 

  20. DeGraaf SR (1998) SAR imaging via modern 2-D spectral estimation methods. IEEE Trans Image Process 7:729–761

    Article  MathSciNet  MATH  Google Scholar 

  21. Cox H, Zeskind R (1991) Reduced variance distortionless response (RVDR) performance with signal mismatch. In: 25th Asilomar conference on signals, systems & computers 2, Pacific Grove, California, pp 825–829

    Google Scholar 

  22. Nadakuditi RR, Edelman A (2005) The bias of the MVDR beamformer outputs under diagonal loading. In ICASSP. Seoul, Korea, pp 793–796

    Google Scholar 

  23. Li J, Stoica P, Wang Z (2003) On robust Capon beamforming and diagonal loading. IEEE Trans Signal Process 51:1702–1805

    Article  Google Scholar 

  24. Wang Y, Li J, Stoica P (2005) Rank-deficient robust capon filter bank approach to complex spectral estimation. IEEE Trans Signal Process 53:2713–2726

    Article  MathSciNet  MATH  Google Scholar 

  25. Marzetta T, Simon S, Ren H. (2006) Capon-MVDR spectral estimation from singular data covariance matrix, with no diagonal loading. MIT Lincoln Laboratory ESC-TR-2006-066

    Google Scholar 

  26. Richmond CD, Nadakuditi RR, Edelman A (2005) Asymptotic mean squared error performance of diagonally loaded capon-MVDR processor. In: Conference record of the thirty-ninth asilomar conference

    Google Scholar 

  27. Li J, Stoica P, Wang Z (2004) Doubly constrained robust Capon beamformer. IEEE Trans Signal Process 52:2407–2423

    Article  Google Scholar 

  28. Ren L (2005) Study about improvement of SAR image quality. Xidian University, Xi’an

    Google Scholar 

  29. DeGraaf SR (1994) SAR imaging via modern 2-d spectral estimation methods. In Proc. SPIE on Optical Engineering in Aerospace Sensing, Orlando, FL, pp 36–47

    Google Scholar 

  30. Zhang P (2009) Study on synthetic aperture radar super-resolution information processing techniques. Institute of Electronics, Chinese Academy of Sciences, Beijing

    Google Scholar 

  31. Palsetia MR, Li J (1998) Using APES for interferometric SAR imaging. IEEE Trans Image Process 7:1430–1443

    Article  Google Scholar 

  32. Stoica Petre, Li Hongbin, Li Jian (1999) A new derivation of the APES filter. IEEE Signal Process Lett 6:205–206

    Article  Google Scholar 

  33. Li J, Stoica P (1996) An adaptive filtering approach to spectral estimation and SAR imaging. IEEE Trans Signal Process 44:1469–1484

    Article  Google Scholar 

  34. Yildirm I, Tezel NS, Erer I, Yazgan B (2003) A comparison of non-parametric spectral estimators for SAR imaging. In Recent advances in space technologies. RAST Int Conf 2003:369–374

    Google Scholar 

  35. Larsson EG, Stoica P (2002) Fast implementation of two-dimensional APES and CAPON spectral estimators. Multidimension Syst Signal Process 13:35–53

    Article  MATH  Google Scholar 

  36. Savy L, Planes J-G, Moal C (2000) High resolution spectral analysis applied to SAR images. In: Proceedings of the CEOS SAR workshop, Toulouse, pp 625–630

    Google Scholar 

  37. Thompson P, Nannini M, Scheiber R (2007) Target separation in SAR image with the MUSIC algorithm. In: 2007 IEEE international geoscience and remote sensing symposium, IGARSS 2007, Barcelona, pp.468–471

    Google Scholar 

  38. Zhang P, Shang J, Yang R (2010) Efficient 2D MUSIC superresolution SAR imaging method. J Syst Simul 22:184–187

    Google Scholar 

  39. Stoica P, Moses R (1997) Introduction to spectral analysis. Prentice hall, New Jersey

    MATH  Google Scholar 

  40. Zhang X (2002) Modern signal processing, 2nd edn. Tsinghua University Press, Beijing

    Google Scholar 

  41. Carriere R, Moses RL (1992) High resolution radar target modeling using a modified prony estimator. IEEE Trans Antennas Propag 40:13–18

    Article  Google Scholar 

  42. Hurst M, Mittra R (1987) Scattering center analysis via Prony’s method. IEEE Trans Antennas Propag 35:986–988

    Article  Google Scholar 

  43. Sacchini JJ, Steedly WM (1993) Two-dimensional prony modeling and parameter estimation. IEEE Trans Signal Process 41:3127–3136

    Article  Google Scholar 

  44. Osborne MR, Smyth GK (1995) A modified Prony algorithm for exponential function fitting. SIAM J Sci Comput 16:119–138

    Article  MathSciNet  MATH  Google Scholar 

  45. Roy Richard, Kailath Thomas (1989) ESPRIT-estimation of signal parameters via rotational invariance techniques. IEEE Trans Acoust Speech Signal Process 37:984–995

    Article  MATH  Google Scholar 

  46. Zoltowski Michael D, Haardt Martin, Mathews Cherian P (1996) Closed-form 2-D angle estimation with rectangular arrays in elementspace or beamspace via unitary ESPRIT. IEEE Trans Signal Process 44:316–328

    Article  Google Scholar 

  47. Haardt M, Zoltowski MD, Mathews CP, Nossek JA (1996) 2D unitary ESPRIT for efficient 2D parameter estimation. In: 1995 international conference on acoustics, speech, and signal processing, ICASSP-95, Detroit, MI, USA, 1996, pp 2096–2099

    Google Scholar 

  48. Zhang P, Li Z, Chen Q (2010) 2D uesprit superresolution SAR imaging algorithm. In IEEE international geoscience and remote sensing symposium (IGARSS). HI, Honolulu, pp 4067–4070

    Google Scholar 

  49. Peter T (1994) Gough, A fast spectral estimation algorithm based on the FFT. IEEE Trans Signal Process 42:1317–1325

    Article  Google Scholar 

  50. Bose R, Freedman A, Steinberg B (2002) Sequence CLEAN: a modified deconvolution technique for microwave images of contiguous targets. IEEE Trans Aerosp Electron Syst 38:89–97

    Article  Google Scholar 

  51. Bose R (1995) Sequence CLEAN: a deconvolution algorithm useful for non-isolated radar target images with high sidelobes. Ph.D. Thesis, University of Pennsylvania, Pennsylvania

    Google Scholar 

  52. Li J, Stoica P (1996) Efficient mixed-spectrum estimation with applications to target feature extraction. IEEE Trans Signal Process 44:281–295

    Article  Google Scholar 

  53. Liu ZS, Li J (1998) Feature extraction of SAR targets consisting of trihedral and dihedral corner reflector. IEEE Proc Radar Sonar Navig 145:161–172

    Article  Google Scholar 

  54. Liu ZS, Li J (1998) Synthetic-aperture-radar motion compensation and feature extraction by means of a relaxation-based algorithm. J Opt Soc Am A 15:599–610

    Article  Google Scholar 

  55. Bi Z, Li J, Liu Z (1999) Super resolution SAR imaging via parametric spectral estimation methods. IEEE Trans Aerosp Electron Syst 35:267–281

    Article  Google Scholar 

  56. Liu Z, Li J (1998) Implementation of the RELAX algorithm. IEEE Trans Aerosp Electron Syst 34:657–664

    Article  Google Scholar 

  57. Gupta IJ, Beals MJ, Moghaddar A (1994) Data extrapolation for high resolution radar imaging. IEEE Tans Antennas Propag 42:1540–1545

    Article  Google Scholar 

  58. Gupta IJ, Beals MJ, Moghaddar A. (1994) High-resolution radar imaging using 2-D Linear prediction. In: IEEE transactions on antennas and propagation, January 1994, vol 42

    Google Scholar 

  59. Kay SM (1988) Modern spectral estimation: theory and application. Prentice Hall, New Jersey

    MATH  Google Scholar 

  60. Marple SL Jr (1987) Digital spectral analysis with application. Prentice Hall, New Jersey

    Google Scholar 

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Yang, R. et al. (2018). SAR Super-Resolution Imaging Method Based on Spectral Estimation. In: High-Resolution Microwave Imaging. Springer, Singapore. https://doi.org/10.1007/978-981-10-7138-6_15

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  • DOI: https://doi.org/10.1007/978-981-10-7138-6_15

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  • Online ISBN: 978-981-10-7138-6

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