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Efficient Joint Localization and Synchronization in Distributed MIMO Radars

Seyed Amir Reza Kazemi, Rouhollah Amiri, Fereidoon Behnia

2020IEEE Signal Processing Letters26 citationsDOI

Abstract

This letter addresses the problem of joint localization and clock synchronization in distributed multiple-input multiple-output (MIMO) radar systems. While the well-known two-stage weighted least squares (WLS) method provides an acceptable estimate of target position when a rough approximation of antennas clock parameters, the drifts and offsets, is available, its performance can degrade quickly if the level of uncertainty in these values increases. The proposed method offers a solution for synchronizing the clocks while simultaneously improving the target position estimate. The uncertainty in positions of antennas is also taken into account. The presented method is shown to be approximately unbiased and able to attain the Cramer-Rao lower bound (CRLB) under small Gaussian error assumption. Numerical simulations are employed to validate the theoretical findings.

Topics & Concepts

SynchronizingCramér–Rao boundSynchronization (alternating current)MIMOComputer scienceControl theory (sociology)Position (finance)Upper and lower boundsAlgorithmJoint (building)RadarGaussianMathematicsEstimation theoryTelecommunicationsEngineeringTransmission (telecommunications)Artificial intelligenceControl (management)Mathematical analysisChannel (broadcasting)FinanceArchitectural engineeringPhysicsQuantum mechanicsEconomicsRadar Systems and Signal ProcessingIndoor and Outdoor Localization TechnologiesMicrowave Imaging and Scattering Analysis
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