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Multi-Target Radar Tracking Estimation Algorithm for Automotive Embedded Applications
Minha Park,Seunghwan Seo,Gyutae Jung,Kukki Im 한국자동차공학회 2010 한국자동차공학회 학술대회 및 전시회 Vol.2010 No.11
This paper presents tracking estimation algorithm and its feasibility analysis in computation load for the situation of multi-target automotive radar applications. Tracking algorithms have been evolved for many decades and played very important roles in space, military, and civilian sectors. Among many tracking methods, it is very critical task to utilize the most appropriate approach for each target application because there is always trade-off among performance, robustness, the computation load and etc. In the automotive world, unlike space and military industries, more constraints like cost and size should be taken into account in development within a certain limited time frame. Among them, the computation load is very significant in real-time embedded applications because the more computation capability is totally proportional to the cost increase of the system indeed. Based on literature researches and simulations, a couple of Kalman Filters were proposed as multi-target radar tracking estimation method and simulated and both elapsed time in simulation environments and in target board were compared and analyzed. As the system needs better performance and robustness in all situations, it will require more computation load in the processor resulting in the higher cost to the end. In the further research, the computation load should be analyzed in more details to adopt the most appropriate model for the specific application.
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