شماره ركورد كنفرانس :
3926
عنوان مقاله :
Compressive Sensing for Elliptic Localization in MIMO Radars
پديدآورندگان :
Zamani Hojatollah hzamani@ee.sharif.edu School of Electrical Engineering Sharif University of Technology Tehran, Iran , Amiri Rouhollah amiri rouhollah@ee.sharif.edu School of Electrical Engineering Sharif University of Technology Tehran, Iran , Behnia Fereidoon behnia@sharif.edu School of Electrical Engineering Sharif University of Technology Tehran, Iran
كليدواژه :
Multiple , input , multiple , output (MIMO) radar , target localization , compressed sensing (CS) , time difference of arrival (TDOA) , bistatic range (BR) , dictionary learning (DL).
عنوان كنفرانس :
بيست و چهارمين كنفرانس مهندسي برق ايران
چكيده فارسي :
In this paper, a sparsity-aware target localization method in multiple-input-multiple-output (MIMO) radars by utilizing time difference of arrival (TDOA) measurements is proposed. This method provides a maximum likelihood (ML) estimator for target position by employing compressive sensing techniques. Also, for fast convergence and mitigating the mismatch problem due to grid discretization, we address a block-based search coupled with an adaptive dictionary learning technique.TheCramer-Raolowerboundforthismodelisderived as a benchmark. Simulations results are included to verify the localization performance.
