Efficient target estimation in distributed MIMO radar via the ADMM

Research output: Contribution to conferencePaper

12 Scopus citations

Abstract

We consider the problem of target estimation in distributed MIMO radars that employ compressive sensing. The problem is formulated as a sparse signal recovery problem with magnitude constraints on the target reflection coefficients, where the signal to be recovered consist of equal size blocks that have the same sparsity profile. A solution is proposed based on the alternating direction method of multipliers (ADMM), which significantly lowers the computational complexity of sparse recovery and improves the estimation accuracy. Due to the block diagonal structure of the sensing matrix, the iterations of all ADMM subproblems are amenable to parallel implementation, which can reduce the running time. A semi-distributed implementation, which relaxes the need of a powerful fusion center is also discussed.

Original languageEnglish (US)
DOIs
StatePublished - Jan 1 2014
Event2014 48th Annual Conference on Information Sciences and Systems, CISS 2014 - Princeton, NJ, United States
Duration: Mar 19 2014Mar 21 2014

Other

Other2014 48th Annual Conference on Information Sciences and Systems, CISS 2014
CountryUnited States
CityPrinceton, NJ
Period3/19/143/21/14

All Science Journal Classification (ASJC) codes

  • Information Systems

Keywords

  • ADMM
  • Distributed MIMO radar
  • sparse sensing

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    Li, B., & Petropulu, A. (2014). Efficient target estimation in distributed MIMO radar via the ADMM. Paper presented at 2014 48th Annual Conference on Information Sciences and Systems, CISS 2014, Princeton, NJ, United States. https://doi.org/10.1109/CISS.2014.6814116