DOA estimation in MIMO radar with broken sensors by difference co-array processing

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Researchers

Research units

  • CAS - Institute of Acoustics

Abstract

We consider the problem of direction of arrival (DOA) estimation in multiple-input multiple-output (MIMO) radar taking into account a possibility that some sensors are broken. In this case, the DOA estimation suffers from performance degradation. Motivated by the fact that the MIMO structure and difference co-array (MIMO-DC) processing can be used jointly and it comes with an advantage that the virtual antenna elements can occupy the positions of the broken sensors and has more degrees of freedom (DOFs), we propose a novel method to overcome the problem of broken sensors. We also show that the proposed method can obtain more DOFs to resolve more sources, and the virtual antenna elements can occupy the positions of broken sensors.

Details

Original languageEnglish
Title of host publication2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015
Publication statusPublished - 14 Jan 2016
MoE publication typeA4 Article in a conference publication
EventIEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing - Cancun, Mexico
Duration: 13 Dec 201516 Dec 2015
Conference number: 6
http://inspire.rutgers.edu/camsap2015/

Workshop

WorkshopIEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing
Abbreviated titleCAMSAP
CountryMexico
CityCancun
Period13/12/201516/12/2015
Internet address

    Research areas

  • Direction of arrival estimation, multiple-input multiple-output radar, broken sensors, difference co-array, degrees of freedom

ID: 1954813