A phase-only adaptive processing based on direct data domain using hybrid genetic algorithms is *** practical application of the complex weight requires complex hardware system,the new algorithm phase-only adaptive pr...
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ISBN:
(纸本)9781467321006
A phase-only adaptive processing based on direct data domain using hybrid genetic algorithms is *** practical application of the complex weight requires complex hardware system,the new algorithm phase-only adaptive processing based on direct data domain is presented to reduce the complexity requirement of system *** a hybrid genetic algorithms combined genetic algorithm with local search algorithm is used to solve the phase-only adaptive *** results show that the phase-only weights solved by a hybrid genetic algorithm not only form deep null in the direction of interferences,but also estimate the magnitude of the target signal *** proposed algorithm achieves the purpose of interference suppression and detecting targets,as well as reduces the complexity of hardware implementation of the system greatly for engineer implement easily.
Natural properties of stochastic searching strategies and operations in metaheuristic algorithms have important influence on convergence performance of various metaheuristic algorithms. Through similarity analysis to ...
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Natural properties of stochastic searching strategies and operations in metaheuristic algorithms have important influence on convergence performance of various metaheuristic algorithms. Through similarity analysis to two kinds of metaheuristic algorithms, exact heuristic algorithm based on branchand- cut is put forward according to change trend of similarity between two arbitrary high-quality solutions. In the meanwhile, two conditions were given in this paper because efficiency of branch-and-cut algorithm is closely allied to complexity of solved object. New heuristic algorithm can help metaheuristic algorithms finding superior solutions than other heuristic algorithms, and accelerate metaheuristic algorithms convergence. Simulation experiments show that new heuristic algorithm is efficacious.
The observation scheduling method for Space Situational Awareness (SSA) that prioritizes only Observation Effectiveness (OE) has a low completion rate for user requests. In this study, we present the results from our ...
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ISBN:
(纸本)9781509009374
The observation scheduling method for Space Situational Awareness (SSA) that prioritizes only Observation Effectiveness (OE) has a low completion rate for user requests. In this study, we present the results from our analysis of the method of scheduling Resident Space Objects (RSO: satellites and their debris orbiting the earth) in Low Earth Orbit (LEO) that prioritizes OE and Request Completion Rate (RCR). First, we analyzed the limitations of the existing method, and then, we designed a new method that increases the RCR of the requests having a high average value of OE. The proposed method results in an improvement of 16.1% in the completion rate of high-priority requests and a reduction of only 0.063 in the average OE when compared with the corresponding results from the method that prioritizes only OE. Further, we applied a local search algorithm to improve the schedule that we created.
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