A Modified Method for Beam-Forming Using Covariance Matrix in MIMO Radar System

Authors

DOI:

https://doi.org/10.46328/ijonest.68

Keywords:

Beampattern synthesis, Covariance Matrix, Convex Optimization, MIMO radar

Abstract

A MIMO radar provides solution for beamforming, since transmit beampattern synthesis is well proven method for stimulating the antenna array to develop the beampattern. It is close to the desired one which can give minimum error between these two. A covariance matrix in beamforming contains the direction of invariable data and magnitude distribution in multidimensional space which decides the closeness with the desired beampattern. Here, selection of an optimal covariance matrix is constrained optimization problem with minimization of cost function. In high directivity radar systems, the antenna beam is needed to be steered to cover a large area for detection. In this proposed work, minimization of convex function and transmit beampattern synthesis is carried out with modifications of the covariance matrix ‘Rcov’ for minimum and maximum transmission power utilization constraints. The beampattern design problem is reformulated here, as semi-definite programming optimization problem and solved using convex optimization, with MATLAB simulation platform. The results show that the beampattern generated using this modified covariance matrix is optimally close to desired pattern.

Author Biographies

Vivek Kadam, Veermata Jijabai Technological Institute

Research Scholar, Electrical Engg. Dept. Veermata Jijabai Technological Institute, Mumbai India

Surendra Bhosale

Dr. Surendra BhosaleAssociate Professor & Head, EE Department, Veermata Jijabai Technological Institute, Mumbai, India,email: sjbhosale@ee.vjti.ac.in

References

Kadam, V. & Bhosale, S. (2021). A Modified Method for Beam-Forming Using Covariance Matrix in MIMO Radar System. International Journal on Engineering, Science and Technology (IJonEST), 3(2), 176-183.

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Published

2022-01-16

Issue

Section

Engineering