Vol. 108
Latest Volume
All Volumes
PIERM 127 [2024] PIERM 126 [2024] PIERM 125 [2024] PIERM 124 [2024] PIERM 123 [2024] PIERM 122 [2023] PIERM 121 [2023] PIERM 120 [2023] PIERM 119 [2023] PIERM 118 [2023] PIERM 117 [2023] PIERM 116 [2023] PIERM 115 [2023] PIERM 114 [2022] PIERM 113 [2022] PIERM 112 [2022] PIERM 111 [2022] PIERM 110 [2022] PIERM 109 [2022] PIERM 108 [2022] PIERM 107 [2022] PIERM 106 [2021] PIERM 105 [2021] PIERM 104 [2021] PIERM 103 [2021] PIERM 102 [2021] PIERM 101 [2021] PIERM 100 [2021] PIERM 99 [2021] PIERM 98 [2020] PIERM 97 [2020] PIERM 96 [2020] PIERM 95 [2020] PIERM 94 [2020] PIERM 93 [2020] PIERM 92 [2020] PIERM 91 [2020] PIERM 90 [2020] PIERM 89 [2020] PIERM 88 [2020] PIERM 87 [2019] PIERM 86 [2019] PIERM 85 [2019] PIERM 84 [2019] PIERM 83 [2019] PIERM 82 [2019] PIERM 81 [2019] PIERM 80 [2019] PIERM 79 [2019] PIERM 78 [2019] PIERM 77 [2019] PIERM 76 [2018] PIERM 75 [2018] PIERM 74 [2018] PIERM 73 [2018] PIERM 72 [2018] PIERM 71 [2018] PIERM 70 [2018] PIERM 69 [2018] PIERM 68 [2018] PIERM 67 [2018] PIERM 66 [2018] PIERM 65 [2018] PIERM 64 [2018] PIERM 63 [2018] PIERM 62 [2017] PIERM 61 [2017] PIERM 60 [2017] PIERM 59 [2017] PIERM 58 [2017] PIERM 57 [2017] PIERM 56 [2017] PIERM 55 [2017] PIERM 54 [2017] PIERM 53 [2017] PIERM 52 [2016] PIERM 51 [2016] PIERM 50 [2016] PIERM 49 [2016] PIERM 48 [2016] PIERM 47 [2016] PIERM 46 [2016] PIERM 45 [2016] PIERM 44 [2015] PIERM 43 [2015] PIERM 42 [2015] PIERM 41 [2015] PIERM 40 [2014] PIERM 39 [2014] PIERM 38 [2014] PIERM 37 [2014] PIERM 36 [2014] PIERM 35 [2014] PIERM 34 [2014] PIERM 33 [2013] PIERM 32 [2013] PIERM 31 [2013] PIERM 30 [2013] PIERM 29 [2013] PIERM 28 [2013] PIERM 27 [2012] PIERM 26 [2012] PIERM 25 [2012] PIERM 24 [2012] PIERM 23 [2012] PIERM 22 [2012] PIERM 21 [2011] PIERM 20 [2011] PIERM 19 [2011] PIERM 18 [2011] PIERM 17 [2011] PIERM 16 [2011] PIERM 14 [2010] PIERM 13 [2010] PIERM 12 [2010] PIERM 11 [2010] PIERM 10 [2009] PIERM 9 [2009] PIERM 8 [2009] PIERM 7 [2009] PIERM 6 [2009] PIERM 5 [2008] PIERM 4 [2008] PIERM 3 [2008] PIERM 2 [2008] PIERM 1 [2008]
2022-03-13
Novel Subarray Partition Algorithm for Solving the Problem of Too Low Beam Collection Efficiency Caused by Dividing a Few Subarrays
By
Progress In Electromagnetics Research M, Vol. 108, 223-235, 2022
Abstract
Beam Collection Efficiency (BCE), sidelobe level outside the receiving area (CSL), and cost are need to be considered in optimizing the transmitting array of a Microwave Wireless Power Transmission (MWPT) system. To solve the problem of too low BCE caused by dividing a small number of subarrays, this paper proposes a novel one-step subarray partition algorithm named Multi-Particle Multi-Parameter Dynamic Weight Particle Swarm Optimization Subarray Partition (MPMP-DWPSO-SP). The algorithm optimizes the position and structure of each element at the same time, and the number of the subarrays is no more than 4. It is verified by simulation that the BCE obtained by using this algorithm to optimize the Sparse Quadrant Symmetrical Rectangular Array (SQSRA) with an aperture of 4.5λ×4.5λ and the array element number of 8×8 can reach more than 90%. In addition, a new intelligent optimization model is designed for dividing the 8×8 array into 2 subarrays, and BCE and CSL can reach 91.69% and -17.61 dB.
Citation
Jianxiong Li, Ziyu Han, and Cuijuan Guo, "Novel Subarray Partition Algorithm for Solving the Problem of Too Low Beam Collection Efficiency Caused by Dividing a Few Subarrays," Progress In Electromagnetics Research M, Vol. 108, 223-235, 2022.
doi:10.2528/PIERM22011701
References

1. Lu, F., H. Zhang, W. Li, et al. "A high-efficiency and long-distance power-relay system with equal power distribution," IEEE Journal of Emerging and Selected Topics in Power Electronics, Vol. 8, No. 2, 1419-1427, 2020.

2. Li, Y. and V. Jandhyala, "Design of retrodirective antenna arrays for short-range wireless power transmission," IEEE Transactions on Antennas and Propagation, Vol. 60, No. 1, 206-211, 2012.

3. Massa, A., G. Oliveri, F. Viani, and P. Rocca, "Array designs for long-distance wireless power transmission: State-of-the-art and innovative solutions," Proceedings of the IEEE, Vol. 101, No. 6, 1464-1481, 2013.

4. Li, X., B. Duan, L. Song, et al. "A new concept of space solar power satellite," Acta Astronaut, Vol. 136, 182-189, 2017.

5. Li, X., J. Zhou, B, Duan, et al. "Performance of planar arrays for microwave power transmission with position errors," IEEE Antennas Wireless Propagation Letters, Vol. 14, 1794-1797, 2015.

6. Xiong, Z., Z. Xu, S. Chen, et al. "Subarray partition in array antenna based on the algorithm X," IEEE Antennas & Wireless Propagation Letters, Vol. 12, No. 12, 906-909, 2013.

7. Liu, X., X. Zhang, and H. Yan, "Research of subarray partition in optically phased array radar," Applied Science & Technology, 2006.

8. Li, X., B. Duan, and L. Song, "Design of clustered planar arrays for microwave wireless power transmission," IEEE Transactions on Antennas and Propagation, Vol. 67, No. 1, 606-611, 2019.

9. Li, J. and S. Chang, "Novel sparse planar array synthesis model for microwave power transmission systems with high efficiency and low cost," Progress In Electromagnetics Research C, Vol. 115, 245-249, 2021.

10. Li, J., J. Pan, and X. Li, "A novel synthesis method of sparse nonuniform-amplitude concentric ring arrays for microwave power transmission," Progress In Electromagnetics Research C, Vol. 107, 1-15, 2021.

11. Haupt, R. L., "Optimized element spacing for low sidelobe concentric ring arrays," IEEE Transactions on Antennas and Propagation, Vol. 56, No. 1, 266-268, 2008.

12. Oliveri, G., L. Poli, and A. Massa, "Maximum efficiency beam synthesis of radiating planar arrays for wireless power transmission," IEEE Transactions on Antennas and Propagation, Vol. 61, No. 5, 2490-2499, 2013.

13. Li, X., B. Duan, J. Zhou, et al. "Planar array synthesis for optimal microwave power transmission with multiple constraints," IEEE Antennas Wireless Propagation Letters, Vol. 16, 70-73, 2017.

14. Poli, R., J. Kennedy, and T. Blackwell, "Particle swarm optimization," Swarm Intelligence, Vol. 1, No. 1, 2007.

15. Miao, A., X. Shi, J. Zhang, et al. "A modified particle swarm optimizer with dynamical inertia weight," Fuzzy Information and Engineering Volume 2. Advances in Intelligent and Soft Computing, Vol. 62, 767-776, 2009.

16. Clerc, M. and J. Kennedy, "The particle swarm-explosion, stability, and convergence in a multidimensional complex space," IEEE Transactions on Evolutionary Computation, Vol. 6, No. 1, 58-73, 2002.