Abstract

Target localization is a fundamental task of multiple-input multiple-output (MIMO) radar systems with numerous applications. In this paper, we investigate into the localization problem in a bistatic MIMO radar with electromagnetic vector sensors (EMVS). Unlike the traditional scaler sensors, an EMVS is able to offer two dimensional (2D) direction finding, and it can provide additional polarization characteristics of the source. Therefore, target localization in bistatic EMVS-MIMO radar system involves 2D direction-of-departure (2D-DOD) and 2D direction-of-arrival (2D-DOA) estimation. Besides, we can obtain transmit polarization characteristics as well as polarization characteristics of the targets. To exploit the tensor nature of the array measurement after matched filters, a tensor subspace algorithm is developed, which estimates the target parameters via cross-product technique from tensor subspace. The proposed algorithm, which obtains closed-form solutions for parameters estimation, shows more accurate performance than the existing algorithm. Numerical simulations verify the effectiveness and improvement of the proposed algorithm.

Highlights

  • Multiple-input multiple-output (MIMO) systems refer to the systems adopt multiple antennas at the transmit end and utilize multiple antennas at the receive end

  • We investigate into the problem of target localization in bistatic electromagnetic vector sensors (EMVS)-MIMO radar, and a tensor subspace-based algorithm is proposed

  • SIMULATION RESULTS 200 Monte-Carlo experiments are used to evaluate the performance of the proposed estimation algorithm

Read more

Summary

Introduction

Multiple-input multiple-output (MIMO) systems refer to the systems adopt multiple antennas at the transmit end and utilize multiple antennas at the receive end. INDEX TERMS Multiple-input multiple-output radar, electromagnetic vector sensors, higher order singular value decomposition analysis, estimation. Target localization in a bistatic MIMO radar involves the estimation of directionof-departure (DOD) and direction-of-arrival (DOA).

Results
Conclusion

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.