A Local Distance Feature Extraction Based Shortwave Direction Finding Cross Location Algorithm

摘要：

　　This paper innovatively proposes a local distance feature based shortwave direction finding cross location algorithm. The proposed algorithm is accomplished by setting one principle direction finding station and extracting the local distance feature in the first localization results. The azimuth subset is created considering the local distance feature and the principle direction finding station. The measured results show that compared to the traditional cross location algorithm, the proposed local distance feature extraction based location algorithm increases the location accuracy and decrease the location error.

关键词： shortwave location algorithm local feature extraction direction finding

作者: Xi Shen Jie Zhu Dayong Liu Xiaofei Zhang

作者单位: No.80 Beilishi Road, Xicheng District, Beijing, P.R.China No.8 Tongji Nanlu, Beijing Economic Technology Development Area, P.R. China

会议类型: 国际会议

会议名称: 2015 Joint International Mechanical,Electronic and Information Technology Conference(JIMET 2015)(2015 联合国际机械,电子与信息技术国际会议)

会议地点: 重庆

会议语种:英文

页码: 431-435

在线出版日期: 2015-12-18（万方平台首次上网日期，不代表论文的发表时间）