Parallel Data Processing Algorithm for Processing Electro-Optical Tracking System (EOTS) Data for Range Servers

With the increased complexity of the performance of various trackers, the sensitivity of the performance of various sensors, and the generation of a huge volume of data in real-time, it has become a challenge for the data processing servers at the range to cope with this volume of data at such a rate in real-time and generate fruitful results for the same. Conventional servers were generally based on a single core with the processing power of such a core being high to accommodate the processing of such huge volumes of data. But, with increasing number of sensors and complexity of processing, conventional servers are bound to overwhelm. Electro-optical Tracking Stations (EOTS) are infrared tracking devices that can track a flying target based on the infrared signatures captured through an infrared camera. To determine the position of a flying object, the triangulation method is applied, which requires at least two EOTS stations. The method of triangulation has simple arithmetic operations which is not a complex task from processor point of view, but adding multiple EOTS stations adds to the complexity in real-time. This paper aims to address this complexity in the reception and processing of EOTS data by dividing the stations into streams and pursuing a reduction-based method while utilizing all cores of the processor.