Cited time in webofscience Cited time in scopus

Robust antenna array calibration and accurate angle estimation based on least trimmed squares

Title
Robust antenna array calibration and accurate angle estimation based on least trimmed squares
Author(s)
Khodjaev, J[Khodjaev, J.]Chang, BY[Chang, B. -Y.]Lee, JH[Lee, J. H.]
DGIST Authors
Khodjaev, J[Khodjaev, J.]Lee, JH[Lee, J. H.]
Issued Date
2014-10
Type
Article
Article Type
Article
Subject
Antenna Array CalibrationsAntenna Phased ArraysAntennasApproximation AlgorithmsCalibrationError CompensationIntermediate PhasisLeast Squares AlgorithmLeast Trimmed SquaresLLSLTSPhase Error CompensationPhase Error CompensationsPhased Array RadarPhased Array RadarsRadar Antennas
ISSN
0003-4347
Abstract
A robust antenna array calibration and single target angle estimation algorithm is proposed. The proposed algorithm is based on the least trimmed squares algorithm and operates in two steps. First, the conventional least squares algorithm is used to estimate the intermediate phases (or angle) and the residual values at each element are calculated. In the second step, it excludes large residual elements and uses only the smallest of them, which prevents large errors during the angle estimation. The least trimmed-based phase difference approximation algorithm is simple to implement and is a practical way of mitigating errors at the antenna elements that are due to hardware and imperfect calibration. The results demonstrate that our proposed algorithm is robust and outperforms other algorithms in three scenarios. © 2013, Institut Mines-Télécom and Springer-Verlag France.
URI
http://hdl.handle.net/20.500.11750/3031
DOI
10.1007/s12243-013-0403-6
Publisher
Springer-Verlag France
Related Researcher
  • 이종훈 Lee, Jonghun 미래자동차연구부
  • Research Interests Radar; AI; DL/ML; signal processing
Files in This Item:

There are no files associated with this item.

Appears in Collections:
Division of Automotive Technology Advanced Radar Tech. Lab 1. Journal Articles
Convergence Research Center for Future Automotive Technology 1. Journal Articles

qrcode

  • twitter
  • facebook
  • mendeley

Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE