Journal of Xidian University ›› 2019, Vol. 46 ›› Issue (1): 124-129.doi: 10.19665/j.issn1001-2400.2019.01.020

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Constrained weighted least squares algorithm based on the MIMO radar system for target localization

ZHOU Cheng1,MAN Xin2,ZHOU Zhiwen3   

  1. 1. PLA Unit 91404, Qinhuangdao 066001, China
    2. College of Electronic Engineering, Naval University of Engineering, Wuhan 430033, China
    3. Armed Police Command College, Tianjin 300250, China
  • Received:2018-03-26 Online:2019-02-20 Published:2019-03-05

Abstract:

For the separated MIMO radar system, a constrained weighted least squares algorithm is proposed by using time delay measurements. By introducing the variable which is the distance between the target and the reference station, the target location equation is pseudolinearized and the cost function is derived. And then, by further study, the relationship between the variable and the target position is explored and used as the constraint condition. Finally, the problem of locating the target is transformed from the nonlinear equation into the quadratic program problems with quadratic constraints, and by use of the Lagrange multiplier method, the target position is solved in a closed-form. Simulation results verify that the proposed algorithm can attain the Cramer-Rao Lower Bound in a relatively high level of noise and that it is robust.

Key words: multiple-input multiple-output radar, target localization, time delay, constrained weighted least squares

CLC Number: 

  • TN97