Journal of Systems Engineering and Electronics ›› 2018, Vol. 29 ›› Issue (4): 731-741.doi: 10.21629/JSEE.2018.04.08

• Defence Electronics Technology • Previous Articles     Next Articles

Tracking multiple targets in MIMO radar via adaptive asymmetric joint diagonalization with deflation

Zhengyan ZHANG*(), Jianyun ZHANG()   

  • Received:2017-12-14 Online:2018-08-01 Published:2018-08-30
  • Contact: Zhengyan ZHANG;
  • About author:ZHANG Zhengyan was born in 1991. He received his M.S. degree in signal and information processing from Electronic Engineering Institute in 2012. Now he is a Ph.D. candidate in National University of Defense Technology. His main research interests are MIMO radar signal processing and array signal processing. E-mail:|ZHANG Jianyun was born in 1963. He is a professor and doctor advisor of National University of Defense Technology and a senior member of Chinese Institute of Electronics. His main research interest is radar signal processing. E-mail:
  • Supported by:
    the National Natural Science Foundation of China(61671453);the National Natural Science Foundation of China(61201379);Anhui Natural Science Foundation of China(1608085MF123);This work was supported by the National Natural Science Foundation of China (61671453; 61201379), and Anhui Natural Science Foundation of China (1608085MF123)


In view of the low performance of adaptive asymmetric joint diagonalization (AAJD), especially its failure in tracking high maneuvering targets, an adaptive asymmetric joint diagonalization with deflation (AAJDd) algorithm is proposed. The AAJDd algorithm improves performance by estimating the direction of departure (DOD) and direction of arrival (DOA) directly, avoiding the reuse of the previous moment information in the AAJD algorithm. On this basis, the idea of sequential estimation of the principal component is introduced to turn the matrix operation into a constant operation, reducing the amount of computation and speeding up the convergence. Meanwhile, the eigenvalue is obtained, which can be used to estimate the number of targets. Then, the estimation of signal parameters via rotational invariance technique (ESPRIT) algorithm is improved to realize the automatic matching and association of DOD and DOA. The simulation results show that the AAJDd algorithm has higher tracking performance than the AAJD algorithm, especially when the high maneuvering target is tracked. The efficiency of the proposed method is verified.

Key words: MIMO radar, low complexity, angles tracking, adaptive asymmetric joint diagonalization with deflation (AAJDd), high maneuvering target