Localization of Unmanned Aerial Vehicle Operators Based on Reconnaissance Plane With Multiple Array Sensors

Abstract

For the sake of positioning the illegal unmanned aerial vehicle operators, the paper proposes a direction of arrival (DOA) estimation algorithm based on the reconnaissance plane with multiple array sensors. First, the number of unmanned aerial vehicle signals is determined by information theory criteria. Then combined support vector regression, the direction of the operator is calculated according to some approximating function through training. Finally, the location can be estimated by integrating the DOAs acquired with the array sensors on the reconnaissance aircraft. This algorithm is convenient and fast to be realized, moreover, as a result of adopting super resolution and multiple kernel learning, it can locate numerous radio signals simultaneously and performs well in the circumstance that signals impinge on the sensor array with small-angle interval, as well as the conditions of small samples and low signal to noise ratio, besides, the algorithm also applies to the array which gain-phase inconsistency exists among the sensors.