Spacing optimization of distributed MIMO-SAR satellites based on improved genetic algorithm

Zhaoke Wang; Feng He; Zaoyu Sun

doi:10.1117/12.2641987

2 December 2022 Spacing optimization of distributed MIMO-SAR satellites based on improved genetic algorithm

Zhaoke Wang, Feng He, Zaoyu Sun

Proceedings Volume 12288, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2022); 122880W (2022) https://doi.org/10.1117/12.2641987
Event: International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2022), 2022, Zhuhai, China

Abstract

In the design of distributed MIMO-SAR systems, the optimization of the satellite spacing along track is an important prerequisite for achieving the task of high resolution and wide swath. From the perspective of system performance optimization, this paper takes the along-track distance between adjacent satellites and PRF is used as an optimization variable, while considering the change of the vertical track baseline, combining genetic algorithm and nonlinear programming to obtain a global optimal solution. A method of optimizing the satellite spacing along track based on improved genetic algorithm is proposed and verified by simulation the correctness of the optimization method. The indicators and methods given in this article are of great significance for guiding the structural design of formation satellite systems and improving the performance of high resolution and wide swath measurement of SAR along track.

Citation Download Citation

Zhaoke Wang, Feng He, and Zaoyu Sun "Spacing optimization of distributed MIMO-SAR satellites based on improved genetic algorithm", Proc. SPIE 12288, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2022), 122880W (2 December 2022); https://doi.org/10.1117/12.2641987

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