Jamming Resource Allocation via Improved Discrete Cuckoo Search Algorithm

LI Dongsheng; GAO Yang; YONG Aixia

doi:10.11999/JEIT150726

Volume 38 Issue 4

Apr. 2016

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LI Dongsheng, GAO Yang, YONG Aixia. Jamming Resource Allocation via Improved Discrete Cuckoo Search Algorithm[J]. Journal of Electronics & Information Technology, 2016, 38(4): 899-905. doi: 10.11999/JEIT150726

Citation:

LI Dongsheng, GAO Yang, YONG Aixia. Jamming Resource Allocation via Improved Discrete Cuckoo Search Algorithm[J]. Journal of Electronics & Information Technology, 2016, 38(4): 899-905. doi: 10.11999/JEIT150726

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Jamming Resource Allocation via Improved Discrete Cuckoo Search Algorithm

doi: 10.11999/JEIT150726

Funds:

The National Natural Science Foundation of China (61179036)

Received Date: 2015-06-15
Rev Recd Date: 2015-11-27
Publish Date: 2016-04-19

Abstract

Abstract

Jamming resource distribution of cooperative identification friend or foe via secondary radar is researched by introducing Discrete Cuckoo Search (DCS) algorithm. The jamming effect evaluation rules and indexes are given, and the aim function and distribution model are given. According to the analysis, distribution models can be changed into one-to-one model and much-to-little model, which can be solved by DCS algorithm. Owing to the slow searching speed and low precision in the Levy flights later stage, the crossover and variation are introduced into DCS algorithm, which gets Improved Discrete Cuckoo Search (IDCS) algorithm. The simulation results show that the jamming effect judging index is effective, the IDCS algorithm has a faster convergence speed than the DCS algorithm, and it has a better searching optimization speed than Improved Genetic Algorithm (IGA).
- Cooperation identification friend or foe,
- Jamming resource,
- Resource distribution,
- Improved Discrete Cuckoo Search (IDCS) algorithm

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References(27)

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