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Multi-Target Angle Tracking Algorithm for Bistatic Multiple-Input Multiple-Output (MIMO) Radar Based on the Elements of the Covariance Matrix.
Zhang, Zhengyan; Zhang, Jianyun; Zhou, Qingsong; Li, Xiaobo.
Affiliation
  • Zhang Z; National University of Defense Technology, Hefei 230037, China. zzyaisj@163.com.
  • Zhang J; National University of Defense Technology, Hefei 230037, China. zjy921@sina.com.
  • Zhou Q; National University of Defense Technology, Hefei 230037, China. zqseei@163.com.
  • Li X; National University of Defense Technology, Hefei 230037, China. lxb_eei@163.com.
Sensors (Basel) ; 18(3)2018 Mar 07.
Article in En | MEDLINE | ID: mdl-29518957
In this paper, we consider the problem of tracking the direction of arrivals (DOA) and the direction of departure (DOD) of multiple targets for bistatic multiple-input multiple-output (MIMO) radar. A high-precision tracking algorithm for target angle is proposed. First, the linear relationship between the covariance matrix difference and the angle difference of the adjacent moment was obtained through three approximate relations. Then, the proposed algorithm obtained the relationship between the elements in the covariance matrix difference. On this basis, the performance of the algorithm was improved by averaging the covariance matrix element. Finally, the least square method was used to estimate the DOD and DOA. The algorithm realized the automatic correlation of the angle and provided better performance when compared with the adaptive asymmetric joint diagonalization (AAJD) algorithm. The simulation results demonstrated the effectiveness of the proposed algorithm. The algorithm provides the technical support for the practical application of MIMO radar.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Sensors (Basel) Year: 2018 Type: Article Affiliation country: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Sensors (Basel) Year: 2018 Type: Article Affiliation country: China