Sensors 2013, 13(4), 5381-5402; doi:10.3390/s130405381
Article

Computational Burden Resulting from Image Recognition of High Resolution Radar Sensors

1,* email, 1email, 2email, 2email, 2email and 2email
Received: 21 February 2013; in revised form: 12 April 2013 / Accepted: 12 April 2013 / Published: 22 April 2013
(This article belongs to the Special Issue State-of-the-Art Sensors Technology in Spain 2013)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: This paper presents a methodology for high resolution radar image generation and automatic target recognition emphasizing the computational cost involved in the process. In order to obtain focused inverse synthetic aperture radar (ISAR) images certain signal processing algorithms must be applied to the information sensed by the radar. From actual data collected by radar the stages and algorithms needed to obtain ISAR images are revised, including high resolution range profile generation, motion compensation and ISAR formation. Target recognition is achieved by comparing the generated set of actual ISAR images with a database of ISAR images generated by electromagnetic software. High resolution radar image generation and target recognition processes are burdensome and time consuming, so to determine the most suitable implementation platform the analysis of the computational complexity is of great interest. To this end and since target identification must be completed in real time, computational burden of both processes the generation and comparison with a database is explained separately. Conclusions are drawn about implementation platforms and calculation efficiency in order to reduce time consumption in a possible future implementation.
Keywords: high resolution radar; radar imagery; ISAR; target recognition; computational burden; NCC
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MDPI and ACS Style

López-Rodríguez, P.; Fernández-Recio, R.; Bravo, I.; Gardel, A.; Lázaro, J.L.; Rufo, E. Computational Burden Resulting from Image Recognition of High Resolution Radar Sensors. Sensors 2013, 13, 5381-5402.

AMA Style

López-Rodríguez P, Fernández-Recio R, Bravo I, Gardel A, Lázaro JL, Rufo E. Computational Burden Resulting from Image Recognition of High Resolution Radar Sensors. Sensors. 2013; 13(4):5381-5402.

Chicago/Turabian Style

López-Rodríguez, Patricia; Fernández-Recio, Raúl; Bravo, Ignacio; Gardel, Alfredo; Lázaro, José L.; Rufo, Elena. 2013. "Computational Burden Resulting from Image Recognition of High Resolution Radar Sensors." Sensors 13, no. 4: 5381-5402.

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