Volume 30 Issue 1
Jan.  2021
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LIU Congfeng, YUN Jinwei. A Joint TDOA/FDOA Localization Algorithm Using Bi-iterative Method with Optimal Step Length[J]. Chinese Journal of Electronics, 2021, 30(1): 119-126. doi: 10.1049/cje.2020.11.009
Citation: LIU Congfeng, YUN Jinwei. A Joint TDOA/FDOA Localization Algorithm Using Bi-iterative Method with Optimal Step Length[J]. Chinese Journal of Electronics, 2021, 30(1): 119-126. doi: 10.1049/cje.2020.11.009

A Joint TDOA/FDOA Localization Algorithm Using Bi-iterative Method with Optimal Step Length

doi: 10.1049/cje.2020.11.009
Funds:  This work is supported by the Weapon Equipment Preresearch Project
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  • Author Bio:

    LIU Congfeng  was born in Xi'an, Shaanxi Province, China, in 1973. He received the B.S. and M.S. degrees from Electronic Engineering University, in 1996 and 1999, respectively, received the Ph.D. degree from the National Key laboratory of Radar Signal Processing of Xidian University in 2008. He is currently an Huashan distinguished professor at Xidian University. From 1999 to 2004, he has been an engineer at Xi'an Satellite Control Center. From 2014 to 2015, he has been a visiting scholar at Nanyang Technological University of Singapore for one year. His research interests focus on the passive location, applications of the signal processing on radar and radar countermeasure. (Email: cfliu@mail.xidian.edu.cn)

  • Corresponding author: YUN Jinwei  (corresponding author)   was born in Taiyuan, Shanxi Province, China, in 1993. He received the B.E. degree from School of Electronic Engineering of Xidian University, in 2017. He is currently a M.S. candidate at Xidian University. Since 2013, he has mainly studied interference signal power and passive location technology. His research interests focus on the applications of the signal processing on radar and communication.(Email: 863341872@qq.com)
  • Received Date: 2019-07-10
  • Accepted Date: 2020-07-09
  • Publish Date: 2021-01-01
  • In order to improve the estimation accuracy of multi-station joint Time difference of arrive / Frequency difference of arrive (TDOA/FDOA) location with Bi-Iterative method, a solution for the position of target with Gauss-Newton optimal step length is proposed in this paper. First, get the initial estimation of target based on Two-stage weighted least-squares (TSWLS) algorithm, and then alternately solve the position and velocity of the target with Bi-Iterative method. In this paper, Gauss-Newton method is applied to iteratively solve the target position, including the detailed equations of the descending direction and the optimal iterative step length in each iterative process. Simulations are carried out to examine the algorithm's performance by comparing it with TSWLS method and Gauss-Newton method regardless of the step length. The results show that when Gauss noise variance is small, the estimation accuracy is close to Cramer Rao lower bound (CRLB) and the proposed method performs better than the other two methods. In addition, because the model which includes the position and velocity of the observation station and the target is in line with the over-the-horizon reality scene in this paper, our research has certain practical value.
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