The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
As one of the most promising linearization techniques, adaptive Digital Predistortion (PD) has been widely utilized in modern wireless communication systems for improving the efficiency of Power Amplifier (PA). In view of the non-stationary signal environment for the wideband PAs, an efficient indirect learning adaptive PD is proposed in the paper based on the Memory Polynomial Model (MPM). The coefficients...
This paper investigates the UAV mission planning problem in which one needs to find the optimal plan/schedule to carry out various tasks of different time windows at various locations using a fleet of fixed-winged heterogeneous UAVs. For this realistic and complex UAV mission planning problem, a two-step approach is proposed to solve it: flying path planning and task scheduling. The solution method...
In this paper, an implementation of parallel MLFMA for scattering problems is presented. MLFMA is an efficient algorithm for accelerating the calculation of matrix-vector-multiplication. Using the hybrid strategy, the parallel version can be efficiently realized on distributed memory systems. Tree construction, communication, etc., are the key techniques which are discussed in details here. Numerical...
Firstly, the model of resource-constrained multi-project scheduling is established. Secondly, a new project priority indicator named project risk ratio synthesizing project throughput and lose per unit of constrained resource is presented. Thirdly, the ant colony optimization (ACO) algorithm is introduced to solve the multi-project scheduling model. Furthermore, in order to accelerate the convergence...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.