Minimizing interference in satellite communications using transiently chaotic neural networks

作者：Liu, Wen; Wang, Lipo^*

来源：Computers & Mathematics with Applications, 2009, 57(6): 1024-1029.

DOI：10.1016/j.camwa.2008.10.026

• FAP
• Satellite communications
• Neural network
• Optimization

The frequency assignment problem (FAP) in satellite communications is solved with transiently chaotic neural networks (TCNN). The objective of this optimization problem s to minimize cochanne inter erence between two satellite systems by rearranging the frequency assignments. For an N-carrier-M-segment FAP problem, we construct a TCNN consisting of N x M neurons. The performance of the TCNN is demonstrated through solving a set of benchmark problems, where the TCNN finds comparative if not better solutions as compared to the existing algorithms.

• 出版日期2009-3
• 单位南阳理工学院; 湘潭大学