摘要
整车天线测试是为保障智能网联汽车通信性能而开展的基础性测试。在实际测试场景中,结果数据的处理和分析是一个重要环节。天线种类复杂、测试频点众多、计算需求多样等因素,增加了结果数据处理和分析的难度及复杂度。本文以目前最常见的球面近场测试为研究背景,以线性平均增益计算为研究目标,提取了整车天线测试场景下的关键要素,归纳了数据处理的关键环节,设计出线性平均增益计算模型的整体框架。针对不同测试场景,对结果计算模型的数据处理逻辑进行了详细的设计。该模型通过模块化、流程化的设计,在满足不同计算需求的同时能够大大提高测试结果数据处理的效率。
Vehicle antenna test is a basic test to ensure the communication performance of intelligent networked vehicles.In the actual test scenario,the processing and analysis of the resulting data is an important link.Factors such as complex antenna types,numerous test frequencies,and diverse computing requirements increase the difficulty and complexity of data processing and analysis of the results.In this paper,the most common spherical near-field test is taken as the research background,and the linear average gain calculation is taken as the research goal,the key elements in the vehicle antenna test scenario are extracted,the key links of data processing are summarized,and the overall framework of the linear average gain calculation model is designed.According to different test scenarios,the data processing logic of the result calculation model is designed in detail.Through modular and process-based design,the model can greatly improve the efficiency of test result data processing while meeting different computing requirements.
作者
李秀成
温泉
冯家煦
杨志强
吴飞燕
Li Xiucheng;Wen Quan;Feng Jiaxu;Yang Zhiqiang;Wu Feiyan
出处
《时代汽车》
2024年第23期4-6,共3页
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关键词
智能网联汽车
整车天线测试
线性平均增益
数据处理
Intelligent Networked Vehicle
Vehicle Antenna Testing
Linear Average Gain
Data Processing