Next Article in Journal
Review of Polynomial Chaos-Based Methods for Uncertainty Quantification in Modern Integrated Circuits
Previous Article in Journal
Efficient Fault Localization and Failure Analysis Techniques for Improving IC Yield
Article Menu
Issue 3 (March) cover image

Export Article

Open AccessArticle
Electronics 2018, 7(3), 29; doi:10.3390/electronics7030029

Maximum Likelihood-Based Methods for Target Velocity Estimation with Distributed MIMO Radar

1,†,* , 2
State Key Laboratory of Millimeter Waves, School of Information Science and Engineering, Southeast University, Nanjing 210096, China
School of Electronic and Information, Shanghai Dianji University, Shanghai 201306, China
Science and Technology on Electromagnetic Scattering Laboratory, Shanghai 200438, China
These authors contributed equally to this work.
Author to whom correspondence should be addressed.
Received: 22 January 2018 / Revised: 19 February 2018 / Accepted: 26 February 2018 / Published: 28 February 2018
View Full-Text   |   Download PDF [316 KB, uploaded 1 March 2018]   |  


The estimation problem for target velocity is addressed in this in the scenario with a distributed multi-input multi-out (MIMO) radar system. A maximum likelihood (ML)-based estimation method is derived with the knowledge of target position. Then, in the scenario without the knowledge of target position, an iterative method is proposed to estimate the target velocity by updating the position information iteratively. Moreover, the Carmér-Rao Lower Bounds (CRLBs) for both scenarios are derived, and the performance degradation of velocity estimation without the position information is also expressed. Simulation results show that the proposed estimation methods can approach the CRLBs, and the velocity estimation performance can be further improved by increasing either the number of radar antennas or the information accuracy of the target position. Furthermore, compared with the existing methods, a better estimation performance can be achieved. View Full-Text
Keywords: CRLB; distributed multi-input multi-output (MIMO) radar; moving target; velocity estimation CRLB; distributed multi-input multi-output (MIMO) radar; moving target; velocity estimation

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Cao, Z.; Chen, P.; Chen, Z.; He, X. Maximum Likelihood-Based Methods for Target Velocity Estimation with Distributed MIMO Radar. Electronics 2018, 7, 29.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Electronics EISSN 2079-9292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top