Journal of Systems Engineering and Electronics ›› 2022, Vol. 33 ›› Issue (6): 1140-1150.

• DEFENCE ELECTRONICS TECHNOLOGY •

### Debiased conversion measurements based target tracking with direction cosine measurements

Lifu LI(), Ting CHENG()

1. 1 School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
• Received:2020-12-29 Online:2022-12-18 Published:2022-12-24
• Contact: Ting CHENG E-mail:201922011217@std.uestc.edu.cn;citrus@uestc.edu.cn
• About author:
LI Lifu was born in 1997. He received his B.S. and M.S. degrees from University of Electronic Science and Technology of China (UESTC). He received his Ph.D. degree from the UESTC, Chengdu, China, in 2022. His primary research interests include statistical signal processing, detection and tracking. E-mail: 201922011217@std.uestc.edu.cn

CHENG Ting was born in 1982. She received her Ph.D. degree from University of Electronic Science and Technology of China. She is an associate professor and postgraduate tutor at the University of Electronic Science and Technology of China. Her research interests are radar resource management and array signal processing methods. E-mail: citrus@uestc.edu.cn
• Supported by:
This work was supported by the National Natural Science Foundation of China (61771095; 62031007).

Abstract:

Phased array radar ’s measurements include two direction cosine and range measurements, which can be obtained in the direction cosine coordinates. State equation of the target is nonlinear with the measurements and in order to solve the nonlinear problem, debiased conversion measurements based target tracking with direction cosine and range measurements in direction cosine coordinates named DCMKF-PreDcos is proposed first in this paper, where the predicted information is introduced to calculate the converted measurement errors ’ statistical characteristics to eliminate the correlation between measurement noise and the converted measurement errors covariance. When range rate information can be obtained further, based on the above DCMKF-PreDcos ’ filtering result, the sequential filtering is adopted to process the additional range rate measurement and the DCMKF-PreDcos algorithm with extra range rate information is given. The predicted information is also introduced to calculate the involved statistical characteristics of converted measurements. The effectiveness of the proposed algorithms is shown in simulation results.