Abstract
In ITS, radar plays an important role. Detection of the target and characterization is very important. Similarly, in dynamic channel condition, target image quality degrades considerable due to sidelobe enhancement and defocusing. The clean algorithm is introduced to eliminate sidelobes and significantly improves the target detection performance of radar signals. The experimental results demonstrate the effectiveness of the CLEAN algorithm.
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References
EU eSafety (2002) Final report of the eSafety working group on road safety, pp 7–39
Cooke T, Martorella M, Haywood B, Gibbins D (2006) Use of 3D ship scatterer models from ISAR image sequences for target recognition. Digit Signal Proc 16(5):523–532
Kim K-T, Seo D-K, Kim H-T (2005) Efficient classification of ISAR images. IEEE Trans Antennas Propag 53(5):1611–1621
Bose Ranjan (2011) Lean CLEAN: deconvolution algorithm for radar imaging of contiguous targets. IEEE Trans Aerosp Electron Syst 47(3):2190–2199
Tsao J, Steinberg BD (1988) Reduction of sidelobe and speckle artifacts in microwave imaging: the CLEAN technique. IEEE Trans Antennas Prop 36:543–556
Ghaemi H, Börner T, Galletti M, Viberg M, Gekat F (2009) CLEAN technique in strip-map SAR for high-quality imaging. In: IEEE aerospace conference. Big Sky, MT, USA, 07 Mar 2009–14 Mar 2009
Foreman TL (2010) Application of the CLEAN detector to low signal to noise ratio targets. In: 2010 IEEE international radar conference (9th), Arlington, Virginia, 10–14 May 2010
Almutiry M, Monte LL, Wicks MC (2017) Extraction of weak scatterer features based on multipath exploitation in radar imagery. Int J Antennas Prop 2017:1–13. Article ID 5847872
Hogbom JA (1974) Aperture synthesis with non-regular distribution of interferometer baselines. Astron Astrophys Suppl 15:417–426
Sur SN, Bera S, Singh AK, Bera R (2012) Improvement in target detection and image. formation for ISAR system using CLEAN algorithm. In: CODIS, pp 429–432. https://doi.org/10.1109/codis.2012.6422230
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Sur, S.N., Bera, S., Anand, A., Rai, S. (2020). CLEAN Algorithm for Imaging Quality Enhancement. In: Sarma, H., Bhuyan, B., Borah, S., Dutta, N. (eds) Trends in Communication, Cloud, and Big Data. Lecture Notes in Networks and Systems, vol 99. Springer, Singapore. https://doi.org/10.1007/978-981-15-1624-5_15
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DOI: https://doi.org/10.1007/978-981-15-1624-5_15
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