A Study On Beam Resource Allocation Algorithms For Multi-faced Phased Arrays

With the rapid development of the technology, phased antenna arrays are widely applied in many applications, such as tracking radar systems, satellite communications and navigations. To satisfy the requirement of hemispherical coverage and reduce the scan loss, array systems composited with multiple planar phased arrays or a hemispherical array can be utilized.A multi-faced phased array can provide different simultaneous beams for about a dozen simultaneous targets. Assuming the position and the EIRP value of each target are known. The resources, such as elements, output power of the elements and different single planar arrays should be reasonably allocated to different targets, which lead to an optimization problem with constraints on the limited resources and maximal the array functions.An antenna structure with sixteen planar sub-arrays for general hemispherical coverage is described in this thesis. It is of two layers and each layer is composited with eight planar arrays with solid T/R elements. The angular range for hemispherical coverage is been divided and the mapping between the sub-regions and the sub-arrays is given. According to the number of the sub-arrays, the sub-regions can be classified as three types: two sub-arrays, four sub-arrays and eight sub-arrays. Then, determining all the possible sub-arrays of each target and simplify the allocation problem as a mathematic model.In this thesis, a simple algorithms for resource allocation is proposed for such a system. The targets may have the priority or not. For the allocation of the targets with priority, the sub-array with closer normal direction will be chosen. For the real-time allocation of the targets without priority, b y estimating the computation, two methods can be chosen. The exhaustive search can find a result which has the maximum resources remaining. By using the strategy, the power resources of a face are allocated to targets with as large EIRP requirements as possible to make full use of resources as possible.Three resource allocation problems are given by using the algorithm. The results including the amplitudes of the exciting current, the excitation phase shifts and sub-array are listed, which verify the effectiveness of the algorithms.