Optimal Allocation of Shared Aperture in Radar-communication Integrated System Based on Pareto Optimality

SHI Changan; LIU Yimin; WANG Xiqin; YU Peng

doi:10.11999/JEIT151377

Volume 38 Issue 9

Sep. 2016

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Article Navigation > Journal of Electronics & Information Technology > 2016 > 38(9): 2351-2357

SHI Changan, LIU Yimin, WANG Xiqin, YU Peng. Optimal Allocation of Shared Aperture in Radar-communication Integrated System Based on Pareto Optimality[J]. Journal of Electronics & Information Technology, 2016, 38(9): 2351-2357. doi: 10.11999/JEIT151377

Citation:

SHI Changan, LIU Yimin, WANG Xiqin, YU Peng. Optimal Allocation of Shared Aperture in Radar-communication Integrated System Based on Pareto Optimality[J]. Journal of Electronics & Information Technology, 2016, 38(9): 2351-2357. doi: 10.11999/JEIT151377

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Optimal Allocation of Shared Aperture in Radar-communication Integrated System Based on Pareto Optimality

doi: 10.11999/JEIT151377

1.
2.
(Department of Electronic Engineering, Tsinghua University, Beijing 100084, China)

Funds:

The National Natural Science Foundation of China (61571260)

Received Date: 2015-12-08
Rev Recd Date: 2016-05-13
Publish Date: 2016-09-19

Abstract

Abstract

In this work, considering a radar-communication integrated radio frequency system, a dynamic allocation method of shared aperture using relevant environmental information is proposed. Firstly, the shared aperture allocation task is formulated as a Multi-Objective Optimization (MOO) problem based on Pareto optimality, which uses the peak side-lobe level of radar array pattern and the channel capacity of Multiple Input Multiple Output (MIMO) communication system as its objective function. Then, an improved particle swarm optimization algorithm based on integer encoding is proposed to solve the MOO problem. The iterative algorithm can find out a set of optimal solutions in the form of Pareto front, one of which can be chosen by decision makers as the most satisfactory solution according to mission requirements. Finally, the simulation results verify the effectiveness of the proposed method.
- Shared aperture,
- Integrated radio frequency system,
- Multi-objective optimization,
- Particle swarm optimization,
- Pareto optimality

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References(29)

References

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