基于加权处理的无人机群数传性能综合评价方法

doi:10.12305/j.issn.1001-506X.2024.12.34

摘要/Abstract

摘要：

将不同类型的情报信息高效回传至指挥中心是侦察型无人机的主要任务之一。针对不同类型的信息，须采用不同的传输体制，因此建立具有客观性、准确性、全面性的数据传输(以下简称数据传输)性能评价方法是保证机载信息高效回传的关键。鉴于现有评价方式更加注重提升指标、缺乏对传输体制的全面评估的问题，提出一种基于加权处理的无人机群数据传输性能评价方法。根据无人机信息的类型与特性，得到信息传输的侧重性指标、兼顾性指标以及次要指标，对不同指标进行权重分配，最终得到各项性能的得分以及综合得分。针对数据传输技术的几种典型方案，采用加权处理的方法进行综合性评价，更加直观地给出不同传输方案的优缺点。作为一种通用的评价方式，所提方法针对单一场景，能够对不同指标进行定量分析，指标的权值可根据实际需求灵活调整，综合得分结果更加直观且具有更高的可评估性，并且其评价方式具有对于多场景的推广性，可以通过改变权值大小的方式适应不同场景和不同信息类型下的评价需求，为无人机群在多场景下数据传输方案的选择和择优提供理论依据。

关键词: 无人机群, 数传方案, 性能评估, 加权处理

Abstract:

Efficient returning of different types of intelligence information to the command center is one of the main tasks of reconnaissance unmanned aerial vehicle (UAV). Different types of information should adopt different transmission systems. Therefore, establishing a data transmission performance evaluation method with the features of objective, accurate and comprehensive is the key to ensure the efficient returning of airborne information. In view of the fact that the existing evaluation methods pay more attention to the improvement of indicators and lack of comprehensive evaluation of the transmission system, a method for evaluating the performance of UAV group data transmission based on weighted processing is proposed. According to the type and characteristics of UAV information, the emphasis index, balance index and secondary index of information transmission are obtained. The weight distribution of different indicators is carried out, and the performance scores and comprehensive scores are finally obtained. For several typical schemes of data transmission technology, the weighted processing method is used for comprehensive evaluation, and the advantages and disadvantages of different transmission schemes are presented more intuitively. As a general evaluation method, the proposed method can quantitatively analyze different indicators for a single scene. The weights of the indicators can be flexibly adjusted according to the actual needs. The comprehensive score results are more intuitive and more evaluable. The evaluation type of the proposed method can be promoted to multi-scenes. It can adapt to the evaluation needs of different scenarios and different information types by changing the weight size, which provides a basis for the selection and optimization of data transmission schemes for UAV group in multi-scenes.

Key words: unmanned aerial vehicle (UAV) group, data transmission scheme, performance evaluation, weighted processing

中图分类号:

TN929.53

赵明非, 薛睿. 基于加权处理的无人机群数传性能综合评价方法[J]. 系统工程与电子技术, 2024, 46(12): 4248-4258.

Mingfei ZHAO, Rui XUE. Comprehensive evaluation method based on weighted processing for data transmission performance of UAV group[J]. Systems Engineering and Electronics, 2024, 46(12): 4248-4258.

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参考文献 20

1	GERACI G , GARCIA-RODRIGUEZ A , AZARI M M , et al. What will the future of UAV cellular communications be? A flight from 5G to 6G[J]. IEEE Communications Surveys & Tutorials, 2022, 24 (3): 1304- 1335.
2	JAVAID S , SAEED N , QADIR Z , et al. Communication and control in collaborative UAVs: recent advances and future trends[J]. IEEE Trans.on Intelligent Transportation Systems, 2023, 24 (6): 5719- 5739. doi: 10.1109/TITS.2023.3248841
3	PREECE A, GOMEZ M, G DE MEL, et al. An ontology-based approach to sensor-mission assignment[C]//Proc. of the Annual Conference of the International Technology Alliance, 2007: 30-40.
4	CIOLPONEA C A , BARSAN G . NATO corps HQ-land component-integration of unmanned aerial vehicles (UAVs)[J]. Land Forces Academy Review, 2022, 27 (4): 323- 332. doi: 10.2478/raft-2022-0041
5	MUSTAFA C U , MARINA M . Losing a war while defeating the enemy: the vitality of the "Strategy Bridge"[J]. Revista Cientifica General Jose Maria Cordova, 2022, 20 (40): 988- 1023.
6	ZHANG J X , GAO W D , CHUAI G , et al. An energy-effective and QoS-guaranteed transmission scheme in UAV-assisted heterogeneous network[J]. Drones, 2023, 7 (2): 141- 163. doi: 10.3390/drones7020141
7	JAWHAR I , MOHAMED N , AL-JAROODI J , et al. Communication and networking of UAV-based systems: classification and associated architectures[J]. Journal of Network and Computer Applications, 2017, 84, 93- 108. doi: 10.1016/j.jnca.2017.02.008
8	HOU Z F , CHEN J , HUANG Y Z , et al. Joint trajectory and passive beamforming optimization in IRS-UAV enhanced anti-jamming communication networks[J]. China Communications, 2021, 19 (5): 191- 205.
9	赵毅, 王璐, 刘崇华. 一种加权式的导航信号性能评估方法[C]// 第三届中国卫星导航学术年会, 2012.
	ZHAO Y, WANG L, LIU C H. A weighted evaluation method for navigation signal performance[C]//Proc. of the 3rd China Satellite Navigation Academic Annual Conference, 2012.
10	GAO S , WU J Z , AI J L . Multi-UAV reconnaissance task allocation for heterogeneous targets using grouping ant colony optimization algorithm[J]. Soft Computing, 2021, 25, 7155- 7167. doi: 10.1007/s00500-021-05675-8
11	ZHAO Z Z, SU Z, ZHUANG Z, et al. Evaluation for warship satellite communication system[C]//Proc. of the 2nd International Signal Processing, Communications and Engineering Management Conference, 2022: 73-76.
12	YIN J, HAN L, MA L B, et al. Evaluation of terminal signal quality based on entropy weight method[C]//Proc. of the International Conference on Intelligent Control, Measurement and Signal Processing, 2022: 855-858.
13	郭厚峰. 雷达设备的受扰仿真与评估方法研究[D]. 南京: 东南大学, 2022.
	GUO H F. Research on disturbed simulation and evaluation method of radar equipment[D]. Nanjing: Southeast University, 2022.
14	MEN Y B, ZHENG J Y. Research on stratospheric communication effectiveness evaluation[C]//Proc. of the IEEE International Conference on Progress in Informatics and Computing, 2021: 504-509.
15	DONG Y L, WANG C T, SUN C H, et al. Performance evaluation for satellite communication networks based on AHP-BP algorithm[C]//Proc. of the 10th International Conference on Communication Software and Networks, 2018: 311-316.
16	WANG Y J , HU X X , WANG L D . Effectiveness evaluation method of constellation satellite communication system with acceptable consistency and consensus under probability hesitant intuitionistic fuzzy preference relationship[J]. Soft Computing, 2022, 26 (22): 12559- 12581. doi: 10.1007/s00500-022-07220-7
17	郝亮亮, 张金生, 李婷, 等. 导弹武器模拟训练考评系统设计[J]. 系统工程与电子技术, 2020, 42 (4): 843- 850. doi: 10.3969/j.issn.1001-506X.2020.04.15
	HAO L L , ZHANG J S , LI T , et al. Design of evaluation system for missile simulation training[J]. Systems Engineering and Electronics, 2020, 42 (4): 843- 850. doi: 10.3969/j.issn.1001-506X.2020.04.15
18	XUE R , ZHAO M F , TANG H Y . Information transmission schemes based on adaptive coded modulation for UAV surveillance systems with satellite relays[J]. IEEE Access, 2020, 8, 191355- 191364. doi: 10.1109/ACCESS.2020.3027737
19	ZHAO M F , XUE R , JIANG H . Precoding-based complex field network coding strategy for multi-source UAV cooperative system[J]. EURASIP Journal on Advances in Signal Processing, 2023, 2023 (1): 1- 20. doi: 10.1186/s13634-022-00961-5
20	XUE R , ZHAO M F . Cognitive-based robustness frequency hopping strategy for UAV swarms in complex electromagnetic environment[J]. Wireless Communications & Mobile Computing, 2022, 2022, 4139345.

性能指标	权重
可靠性	p₁
有效性	p₂
抗干扰性	p₃

性能指标	衡量指标	参考方案	传输方案	测定结果	权重	总得分
可靠性	平均(E_b/N₀)/dB	11.0	15.40	-0.40	0.6	0.33
有效性	平均归一化频谱效率	0.5	1.45	1.90	0.3	0.33

性能指标	衡量指标	参考方案	传输方案	测定结果	权重	总得分
可靠性	平均(E_b/N₀)/dB	11.0	16.30	-0.48	0.6	0.57
有效性	平均归一化频谱效率	0.5	1.93	2.86	0.3	0.57

性能指标	衡量指标	拓扑结构	参考方案	传输方案	评估分数	评估分数平均值	权重	总得分
可靠性	平均(E_b/N₀)/dB	6－6－1	24	17.5	0.27	0.26	0.3	-0.12
		6－4－1	27	20	0.26
		6－8－1	23	16	0.30
		4－6－1	18	14	0.22
		8－6－1	27.5	21	0.24
有效性	每时隙传输信息量	-	1/2	1/3	-0.33	-0.33	0.6

性能指标	衡量指标	干扰类型	参考方案	传输方案	评估分数	评估分数平均值	权重	总得分
可靠性	平均(E_b/N₀)/dB	BNJ	-3.58	-4.5	0.26	0.92	0.1	0.347
		NNJ	-2.1	-1.68	0.25
		STJ	-3.7	-5.5	0.49
		MTJ	-1.8	-5.6	2.1
		LFM	-1.25	-3.1	1.48
有效性	信息量/时隙	-	1/93	1/94	-0.01	-0.01	0.1
抗干扰性	平均干信比/dB	BNJ	9.58	10.5	0.1	0.32	0.8
		NNJ	7.8	8.1	0.04
		STJ	6.7	11.5	0.72
		MTJ	7.8	11.63	0.49
		LFM	7.3	9.1	0.25