Target tracking in widely separated non-coherent multiple-input multiple-output radar systems

Ruixin Niu, Rick S. Blum, Pramod K. Varshney, Andrew L. Drozd

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Scopus citations

Abstract

In a widely separated multiple-input multiple-out (MIMO) radar system with non-coherent receivers, the maximum likelihood estimator (MLE) of target location and the corresponding CRLB matrix are derived. Further, two interactive signal processing and tracking algorithms are developed based on the Kalman filter and the particle filter respectively. For a system with a small number of elements and a low SNR value, the particle filter outperforms the KF significantly. In both methods, the tracker provides predictive information regarding the target location, so that the matched filter can match to the most probable target locations, reducing the cost and improving the tracking performance. It is shown that the non-coherent MIMO radar provides a significant performance improvement over a monostatic radar with high range and azimuth resolutions.

Original languageEnglish (US)
Title of host publicationConference Record - 43rd Asilomar Conference on Signals, Systems and Computers
Pages1181-1185
Number of pages5
DOIs
StatePublished - Dec 1 2009
Event43rd Asilomar Conference on Signals, Systems and Computers - Pacific Grove, CA, United States
Duration: Nov 1 2009Nov 4 2009

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Print)1058-6393

Other

Other43rd Asilomar Conference on Signals, Systems and Computers
CountryUnited States
CityPacific Grove, CA
Period11/1/0911/4/09

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

Fingerprint Dive into the research topics of 'Target tracking in widely separated non-coherent multiple-input multiple-output radar systems'. Together they form a unique fingerprint.

Cite this