An efficient iterative algorithm for moving target positioning in distributed MIMO radars

This paper proposes an efficient iterative algorithm for determining the position and velocity of a moving target in di stributed MIMO radar systems. We first formulate the localizatio n problem as a constrained weighted least squares (CWLS) probl em, which is essentially a quadratically constrained...

Full description

Saved in:
Bibliographic Details
Published in:2021 IEEE International Conference on Computer Science, Electronic Information Engineering and Intelligent Control Technology (CEI) pp. 404 - 408
Main Authors: Zhao, Hai-Ni, Dong, Chun-xi
Format: Conference Proceeding
Language:English
Published: IEEE 24.09.2021
Subjects:
Closed-form solutions
Computational modeling
Computer science
Conferences
constrained weighted least squares (CWLS)
linearly constrained quadratic programming (LCQP)
Location awareness
MIMO radar
moving target localization
Numerical simulation
Q R decomposition
quadratically constrained quadratic programmin g (QCQP)
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This paper proposes an efficient iterative algorithm for determining the position and velocity of a moving target in di stributed MIMO radar systems. We first formulate the localizatio n problem as a constrained weighted least squares (CWLS) probl em, which is essentially a quadratically constrained quadratic pro gramming (QCQP) problem due to its quadratic equality constrai nts. Then, the QCQP problem is transformed into a linearly const rained quadratic programming (LCQP) problem through approx imating each non-convex constraint as a linear constraint, and it i s solved iteratively based on QR decomposition. The closed-form solution in each iteration for solving the LQCP problem makes th e proposed method have high computational efficiency. The perfo rmance of the proposed method is validated via numerical simulations.
DOI:10.1109/CEI52496.2021.9574605