Simulated-annealing-based selection of binary codes
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Binary code signals have been widely used in various radars due to their simple implementation, but the selection of the binary codes with high comporession ratio and low sidelobes is not solved well, because of the difficult processing in mathematics and expensive calculation cost. In this paper, neural computing is introduced into the field of the selection of binary codes and a new method based on simulated annealing(SA) is proposed. The experiments show that the proposed method is able to select the optimal binary codes with much less time cost than the known methods, furhtermore the optimization selection of the binary codes versus the calculation cost tradeoff is easier.
Key wordsBinary codes Selecting codes Sidelobes Simulated annealing(SA)
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