During the operation of the multifunction radar system, all the tasks related to the functions of the radar must be launched. The key element of the radar responsible for managing all these tasks is the task scheduler. Many scheduling techniques give good results at the expense of too complex and expensive designs. This study presents the results of a model for a radar task scheduler to achieve both a simple design and a good performance. The scheduling process consists of three stages in which the whole scheduling is divided into: task priorisation, scheduling algorithm and temporal planning. A task priority method is established to be applied to the tasks and the scheduling algorithms that have been tested based on this criterion for the priority task queue building. The authors have developed a software platform for testing all scheduling algorithms. The evaluation of the schedulers was made based on a set of features of the radar to measure the system's performance from the timing and the tasks execution. The authors offer a model to test the global radar system focusing on the task scheduler. This way allows us to analyse different scheduling algorithms and policies, and applying specifically scheduling policies that give priority to the most important and critical tasks.
On the basis of an acoustic biometric system that captures 16 acoustic images of a person for 4 frequencies and 4 positions, a study was carried out to improve the performance of the system. On a first stage, an analysis to determine which images provide more information to the system was carried out showing that a set of 12 images allows the system to obtain results that are equivalent to using all of the 16 images. Finally, optimization techniques were used to obtain the set of weights associated with each acoustic image that maximizes the performance of the biometric system. These results improve significantly the performance of the preliminary system, while reducing the time of acquisition and computational burden, since the number of acoustic images was reduced.
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