Abstract
In recent years, the algorithms that extract information for target’s behavior through mathematical transformation of the signals reflected from a target, find ever-widening practical application. In this paper, a new two-stage algorithm for target detection and target’s radial velocity estimation that exploits the Hough transform is proposed. The effectiveness of the proposed algorithm is formulated in terms of both quality parameters - the probability of detection and the accuracy of velocity estimation. The quality parameters are estimated using the Monte Carlo simulation approach.
This work is supported by IIT - 010059/2004 and Bulgarian NF “SR” with Grants TH - 1305/2003, MI - 1506/2005 and IF - 02-85/2005.
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Behar, V., Doukovska, L., Kabakchiev, C. (2007). Target Detection and Parameter Estimation Using the Hough Transform. In: Boyanov, T., Dimova, S., Georgiev, K., Nikolov, G. (eds) Numerical Methods and Applications. NMA 2006. Lecture Notes in Computer Science, vol 4310. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-70942-8_63
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DOI: https://doi.org/10.1007/978-3-540-70942-8_63
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-70940-4
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