Abstract
The most fundamental problem in radar signal is detection of a moving object or a physical phenomenon. This problem became more challenging to the signal processing and radar communities to detect multiple moving targets under severe interference. In order to effectively detect moving targets in strong noise conditions, we proposed a new method based on matched filter and Hough transform (HT) for multiple moving targets detection. At first, the noise is removed from the received signal by the matched filter with a cross correlation technique. Then, the image processing technique of the Hough transform is used. The benefits of this method include improved performance of detection, implementation flexibility, which indicates the effectiveness and robustness of the algorithm.
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Amberg V et al (2004) Structure extraction from high resolution SAR data on urban areas. In: Proceedings of 2004 IEEE international geoscience and remote sensing symposium, vol 3, pp 1784–1787
Ballard DH (1982) Generalizing the Hough transform to detect arbitrary shapes. Pattern Recogn 13(2):111–122
Carlson BD, Evans ED, Wilson SL (1994) Search radar detection and track with the Hough transform, Part I: system concept. IEEE Trans Aerosp Electron Syst 30(1):102–108. doi:10.1109/7.250410
Carlson BD, Evans ED, Wilson SL (1994) Search radar detection and track with the Hough transform, Part II: detection statistics. IEEE Trans Aerosp Electron Syst 30(1):109–115. doi:10.1109/7.250411
Carlson BD, Evans ED, Wilson SL (1994) Search radar detection and track with the Hough transform, Part III: detection performance with binary integration. IEEE Trans Aerosp Electron Syst 30(1):116–125. doi:10.1109/7.250412
Da Fontoura Costa L, Sandler MB (1989) A binary Hough transform and its efficient implementation in a systolic architecture. Pattern Recogn Lett 10:329–334. doi:10.1016/0167-8655(89)90036-6
Dell’Acqua F, Gamla P (2001) Detection of urban structures in SAR images by robust fuzzy clustering algorithms: the example of street tracking. IEEE Trans Geosci Remote Sens 39(10):2287–2297
Duda RO, Hart PE (1972) Use of the Hough transformation to detect lines and curves in pictures. Commun ACM 15(1):11–15. doi:10.1145/361237.361242
Hough PVC (1962) Methods and means for recognizing complex patterns. US Patent 3,069,654
Islam MS, Chong U (2013) Detection of uncooperative targets using cross-correlation in oceanic environment. Research notes in information science (RNIS), vol 14, June 2013
Islam MS, Han H, Lee JI, Jung MG, Chong U (2013) Small target detection and noise reduction in marine radar systems. Sciverse Sciencedirect, IERI procedia
Liu H, He Z, Zeng J (2008) An improved radar detection algorithm based on Hough transform. Sens Imaging 9:1–7 (Springer Science+Business Media, LLC)
Long K et al (2006) Image processing of ground penetrating radar data for landmine detection. In: Proceedings of the society for photo-instrumentation engineers, pp 6217, 62172R. doi:10.1117/12.664038
Tantum SL et al (2002) Comparison of algorithms for land mine detection and discrimination using ground penetrating radar. In: Proceedings of the society for photo-instrumentation engineers, vol 4742, pp 728–735. doi:10.1117/12.479146
Xu L, Oja E, Kultaken P (1990) A new curve detection method: randomized Hough transform (RHT). Pattern Recogn Lett 11:331–338. doi:10.1016/0167-8655(90)90042-Z
Acknowledgments
This work (Grants No. C0006188) was supported by business for academic-industrial cooperative establishments’ funded Korea small and medium business administration in 2013.
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Islam, M.S., Chong, U. (2015). Multiple Moving Targets Detection Based on Hough Transform and Matched Filter. In: Park, J., Pan, Y., Kim, C., Yang, Y. (eds) Future Information Technology - II. Lecture Notes in Electrical Engineering, vol 329. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-9558-6_25
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DOI: https://doi.org/10.1007/978-94-017-9558-6_25
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