Resumen

MATOS RODRIGUEZ, Alian Ernesto; ZAMBRANO MENDEZ, Leandro; SEPULVEDA LIMA, Roberto  y  DIAZ PANDO, Humberto. Algorithm for parallel processing of tracking radar data using Odroid-N2. RCCI [online]. 2022, vol.16, n.4, pp. 149-165.  Epub 01-Dic-2023. ISSN 2227-1899.

Radars are devices commonly dedicated to target detection and tracking. There are various types of radars, including search and tracking radars. One difference between both types is the period information update, in the search radars in order of seconds, while the tracking radars in tenths of milliseconds. Nowadays, modern radars employ in some way the conversion of the analog signal into digital. Modernizations of analog radars have been developed using various hardware platforms. A part of the tracking radars in Cuba are supported by analog technology, which are subjected to long periods of maintenance, as they present instability during their operation. From the aforementioned, the need arises to develop a solution that allows the processing and representation of data on a digital screen. The main contribution of this work is the development of an algorithm for data processing and representation of tracking radar, which meets the time requirements using the Odroid-N2 board. The proposed algorithm uses scheduling principles, by implementing the parallel scheduling pattern known as pipeline. The experiments carried out showed that the proposed solution decreases the execution times in relation to its sequential variant and satisfies the response time requirement.

Palabras clave : Tracking radar; parallel programming; pipeline parallel pattern; Odroid-N2.