不同评价函数下阵列天线自修复分析

朱赛; 蔡金燕; 吕贵洲; 韩春辉; 安婷

doi:10.11884/HPLPB201931.180372

不同评价函数下阵列天线自修复分析

doi: 10.11884/HPLPB201931.180372

陆军工程大学石家庄校区电子与光学工程系, 石家庄 050003

基金项目:

国家自然科学基金项目 61601495

详细信息

作者简介:
朱赛(1987－), 男，博士，讲师，从事阵列天线故障定位与自修复研究；szhumail@163.com

中图分类号: V240.2
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- 被引次数: 0
出版历程
- 收稿日期: 2018-12-20
- 修回日期: 2019-04-09
- 刊出日期: 2019-07-15

Analysis on array antenna self-repair based on different fitness functions

Department of Electronic and Optical Engineering, Shijiazhuang Campus, Army Engineering University, Shijiazhuang 050003, China

摘要

摘要: 由大量阵元组成的阵列天线其性能受不断出现的失效阵元影响，可通过进化重配置阵列中剩余正常阵元激励实现性能修复。分析了阵列天线进化重配置过程，综合分析了自修复过程中评价函数类型，设计了不同评价函数分析流程，通过Chebyshev直线阵的自修复仿真实验，分析了不同评价函数对阵列天线自修复结果的影响，分析结果表明，基于性能参数的评价函数和方向图匹配与性能参数相结合评价函数具有较好性能，该分析结果为具有失效阵元的阵列天线自修复中评价函数选择提供了参考。
- 阵列天线 /
- 自修复 /
- 评价函数 /
- 失效阵元 /
- 进化
Abstract: The performance of array antenna with a large number of elements is affected by the emerging failure elements, and the performance restoration can be achieved by the evolution of the remaining normal elements through evolutionary reconfiguration. The array antennas' evolutionary reconfiguration is analyzed. The fitness function types in self-repair process are analyzed. The evaluation process of different fitness functions is designed. Through the self-repair simulation experiment of a Chebyshev linear array, the self-repair results of array antennas with different fitness functions are analyzed. The analysis result shows that the fitness function based on performance parameters and the combination of pattern matching and performance parameters have better performance. The analysis result provides a reference for the fitness function selection in array antenna self-repair.
- antenna array /
- self-repair /
- fitness function /
- failed element /
- evolution

HTML全文

图 1 阵列天线自修复计算框图

Figure 1. Array antenna self-repair framework

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图 2 不同评价函数下阵列天线自修复

Figure 2. Array antenna self-repair under different fitness functions

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表 1 不同评价函数下阵列天线自修复结果统计

Table 1. Array antenna self-repair result under different fitness functions

fault position	fitness function	repair time/s (mean/standard deviation)	maxSLL/dB (mean/standard deviation)	avSLL/dB (mean/standard deviation)	HPBW/(°) (mean/standard deviation)	FNBW/(°) (mean/standard deviation)	D/1 (mean/standard deviation)
—	—	—	-30.00	-30.00	7.95	21.41	11.79
2	—	—	-23.94	-26.28	8.26	22.44	11.11
	F_w	119.91/12.11	-23.17/2.11	-27.90/0.46	8.67/0.17	22.52/0.98	12.57/0.23
	F_p	333.03/36.88	-30.01/0.03	-30.44/0.37	9.16/0.17	25.64/0.76	11.93/0.22
	F_pw	338.61/34.75	-30.02/0.03	-30.28/0.15	9.03/0.14	26.96/4.25	12.09/0.20
3	—	—	-22.10	-24.35	8.23	23.75	12.95
	F_w	155.80/17.50	-23.78/1.12	-27.58/0.35	9.16/0.14	25.12/0.73	11.83/0.17
	F_p	372.74/47.15	-29.57/0.74	-29.88/0.87	10.02/0.11	28.20/0.44	10.90/0.11
	F_pw	378.51/48.86	-29.30/1.39	-29.57/1.50	9.81/0.45	32.67/6.80	11.10/0.53
4	—	—	-20.50	-21.89	8.12	25.30	12.83
	F_w	119.11/8.97	-21.00/0.80	-27.29/0.18	9.45/0.11	26.92/0.56	11.34/0.16
	F_p	326.11/22.41	-27.30/2.31	-27.54/2.41	10.17/0.97	28.58/3.26	10.73/1.00
	F_pw	329.35/22.52	-28.87/2.85	-29.11/2.96	8.88/1.35	58.80/23.21	11.49/1.12
5	—	—	-19.22	-20.45	7.98	26.45	12.79
	F_w	141.91/14.11	-17.85/1.41	-27.15/0.73	9.23/0.36	28.99/0.84	11.11/0.33
	F_p	327.99/32.65	-20.84/0.04	-20.86/0.05	7.97/0.05	21.37/0.07	12.82/0.08
	F_pw	336.09/37.63	-27.12/2.38	-27.45/2.70	9.61/1.58	44.18/19.23	10.82/1.25
11	—	—	-20.50	-21.89	8.12	25.30	12.83
	F_w	116.09/4.77	-21.55/2.06	-27.38/0.68	9.64/0.37	27.20/1.27	11.15/0.35
	F_p	323.95/14.91	-28.02/1.98	-28.38/2.12	10.52/0.76	29.88/2.58	10.37/0.74
	F_pw	329.65/11.53	-29.62/1.44	-30.14/1.70	8.70/1.11	64.60/20.61	11.46/0.79
14	—	—	-22.10	-24.35	8.23	23.75	12.95
	F_w	110.97/0.67	-24.67/1.40	-28.08/0.29	9.21/0.18	25.64/0.84	11.76/0.22
	F_p	309.84/0.71	-29.45/1.34	-30.01/1.53	9.93/0.38	27.93/1.35	11.00/0.42
	F_pw	314.14/0.55	-29.84/0.47	-30.46/0.78	9.91/0.16	34.98/6.47	10.98/0.15
16	—	—	-25.52	-29.22	8.32	21.73	11.17
	F_w	151.22/18.38	-23.93/1.64	-28.37/0.34	8.56/0.17	22.14/0.98	12.75/0.25
	F_p	365.52/61.14	-30.03/0.04	-30.74/0.47	8.64/0.03	23.41/0.12	12.69/0.05
	F_pw	373.55/53.38	-30.02/0.02	-30.62/0.28	8.63/0.03	23.92/2.21	12.71/0.04

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