文献类型：期刊文献

英文题名：Least-squares-based System Error Estimation Using ADS-B Measurements and Its Application to Three-dimensional Radar

作者：Qin, Gao-De[1]; Fan, E.[1,2]; Li, Pengfei[3]; Yuan, Chang-Hong[4]

机构：[1] School of Artificial Intelligence, Shenzhen Polytechnic, No. 4089, Shahe West Road, Shenzhen, 518055, China; [2] Department of Computer Science and Engineering, Shaoxing University, No. 508, Huancheng West Road, Shaoxing, 312000, China; [3] PLA Army Artillery Air Defense Academy Zhengzhou Campus, No. 24 Jianshe East Road, Zhengzhou, 450052, China; [4] Network Center, Southern Medical University, Guangzhou 510515, China No. 1023, Tainan Road, Guangzhou, 510630, China

年份：2019

卷号：30

期号：6

起止页码：297

外文期刊名：Journal of Computers (Taiwan)

收录：EI(收录号：20203008975148)

语种：英文

外文关键词：Data fusion - Deceleration - Errors - Least squares approximations - Radar

外文摘要：Abstract. Three-dimensional radar combined with an automatic dependent surveillancebroadcast (ADS-B) device is a typical multisensor data-fusion system. To estimate the system error of three-dimensional radar, a least-squares-based radar system error method (FL-LSr) using ADS-B measurements is proposed in a local rectangular radar coordinate system. In the proposed method, a unified observed model is established first, and the radar measurements and ADS-B measurements are transformed into the unified coordinated system. Then, the outliers in radar measurements are eliminated according to the 3σ rule. The corresponding sampling time of radar measurements is regarded as the reference time, and interpolation from straight-line fitting is used to reconstruct the ADS-B measurements. Additionally, the radar measurements and ADS-B are fitted to two straight-lines, and the angle between these two straight-lines is applied to compensate the azimuth components of radar measurements. Finally, the least squares estimation algorithm is utilized to estimate the system error of the three-dimensional radar. Experimental results with real data illustrate that the proposed method can estimate radar system error effectively and accurately compared with traditional radar system error estimation methods.. ? 2019 Computer Society of the Republic of China. All rights reserved.