Zhurnal Radioelektroniki - Journal of Radio Electronics. eISSN 1689-1719. 2020. No. 7
ContentsFull text in Russian (pdf)
DOI https://doi.org/10.30898/1684-1719.2020.7.2
UDC 621.396.75
Detection and parameter estimation methods for spaceborne SAR signal: a review
A. A. Kanatchikov
Interstate Joint Stock Corporation “Vympel”, Moscow 125480, Russia
The paper is received on June 19, 2020
Abstract. The article presents the detection and time-frequency parameters estimation methods for spaceborne SAR pulse signal in the context of Space Tracking and Surveillance System. Chirp signal is considered as a model of SAR signals. To create a theoretical basis for the perspective combined algorithm for detecting SAR signals, the paper compares existing detection methods. A brief description of the energy method, the autocorrelation method, the cross-correlation method, is given. The common used methods for chirp analysis, such as the short-time Fourier transform, the Wigner-Wille transform, the fractional Fourier transform, and the chirplet transform, are also discussed. For each method, the advantages and disadvantages are indicated both in terms of detection performance, and in terms of implementation.
Keywords: space monitoring system, signal detection, synthetic aperture radar.
References
1. Verba V.S, Neronskiy L.B., Osipov I.G. Turuk V.E. Radiolokatsyonnye systemy zemleobzora kosmicheskogo bazirovaniya [Spaceborne radar surveying systems]. Moscow, Radiotekhnika Publ. 2010. 680 p. (In Russian)
2. Kupryashkin I.F., Likhachev V.P. Kosmicheskaya radiolokatsyonnaya syemka zemnoy poverkhnosti v usloviyakh pomekh: monografiya [Spaceborne Radar Mapping of the Earth’s Surface under Noise Conditions: Monograph]. Voronezh, Nauchnaya Kniga Publ. 2014. 460 p. (In Russian)
3. Urkowitz H. Energy detection of unknown deterministic signals. Proceedings of the IEEE. 1967. Vol. 55. No. 4. P. 523–531.
4. Sosulin Yu.G. Teoriya obnaruzheniya i otsenivaniya stokhasticheskih signalov [Stochastic Signals Detection and Estimation Theory]. Moscow, Sovetskoe Radio Publ. 1978. 320 p. (In Russian)
5. Smirnov Yu.A. Radiotekhnicheskaya razvedka [Signals intelligence]. Moscow, Voenizdat Publ. 2001. 456 p. (In Russian).
6. Likhachev V.P., Veselkov À.À., Semenov V.V. Wideband SAR signal detection. Experimental results. Proceedings of XVI International Scientific Conference “Informatika: problemy, metodologiya, tekhnologii” [Informatics: problems, methodology, technology]. 2016. P. 170–175. (In Russian)
7. Ksendzuk A.V., Kanatchikov A.A., Gerasimov P.A. Space surveillance system’s SAR signal detection results. Voprosy radioelektroniki - Issues of Radio Electronics. 2018. No. 3. P. 63–68. (In Russian)
8. Cohen L. Time-frequency distributions – a review. Proceedings of the IEEE. 1989. Vol. 77. No 7. P. 941–981.
9. Hlawatsch F., Boudreaux-Bartels G.F. Linear and quadratic time-frequency signal representations. IEEE Signal Processing Magazine. 1992. Vol. 9. No. 2. P. 21–67.
10. Sejdić E., Djurović I., Jiang J. Time-frequency feature representation using energy concentration: An overview of recent advances. Digital Signal Processing. 2009. Vol. 19. No. 1. P. 153–183.
11. Claasen T.A.C.M., Mecklenbräuker W.F.G. The Wigner distribution – a tool for time-frequency signal analysis; Part I: continuous-time signals. Philips J. Res. 1980. Vol. 35. No. 3. P. 217–250.
12. Boashash B. Note on the use of the Wigner distribution for time-frequency signal analysis. IEEE Transactions on Acoustics, Speech, and Signal Processing. 1988. Vol. 36. No. 9. P. 1518–1521.
13. Wood J.C., Barry D.T. Radon transformation of time-frequency distributions for analysis of multicomponent signals. IEEE Transactions on Signal Processing. 1994. Vol. 42. No. 11. P. 3166–3177.
14. Barbarossa S. Analysis of multicomponent LFM signals by a combined Wigner-Hough transform. IEEE Transactions on Signal Processing. 1995. Vol. 43. No. 6. P. 1511–1515.
15. Almeida L.B. The fractional Fourier transform and time-frequency representations. IEEE Transactions on Signal Processing. 1994. Vol. 42. No. 11. P. 3084–3091.
16. Mann S., Haykin S. The chirplet transform: physical considerations. IEEE Transactions on Signal Processing. 1995. Vol. 43. No. 11. P. 2745–2761.
17. Mallat S. A Wavelet Tour of Signal Processing: The Sparse Way. Academic Press, 3rd edition. 2008. 832 p.
For citation:
Kanatchikov A.A. Detection and parameter estimation methods for spaceborne SAR signal: a review. Zhurnal Radioelektroniki - Journal of Radio Electronics. 2020. No.7. https://doi.org/10.30898/1684-1719.2020.7.2