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The agile satellite could achieve the linescan imaging model with the ability of three-axis-maneuvering, while imaging synchronously during the maneuvering. Based on the imaging agile satellite task, the model of the problem of scheduling agile earth observing satellite (AEOS) with the linescan imaging was established. Using the Gauss projection, the preliminary method of the linescan strip was established, and solved by the existing algorithms in the Matlab. Because of the complexity of the model, the solution strategy of the hierarchical optimization was designed. During the sub-problem, generating the linescan stripe with groups, the solution method can be solved easily. In the upper scheduling problem, according to the two directions of the stripe, the hierarchical optimization based on heuristic rule was designed to solve the problem. Then, turning the stripes that could not be scheduled into the point target, the whole scheduling was completed with the second-time-scheduling. The simulation shows that the algorithm can solve the actual problem of the scheduling of the linescan imaging agile satellite. [ABSTRACT FROM AUTHOR]

Abstract: A new diversity selection combining scheme in a multiple Base Stations (BSs) scenario is proposed, in order to minimize the impact of suddenly losing one active BS in the soft handover (SHO) region. By analyzing the average number of path estimations and the average number of combined paths, we can see that the proposed scheme has a satisfactory average bit error ratio (ABER) but with a low complexity, as compared by the conventional distributed combining schemes. Simulation results validate the superiority of the proposed scheme. [Copyright &y& Elsevier]