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An Effective Pre-processing Technique for Robust ESPRIT-Based Single-Tone Frequency Estimation against an I/Q Mismatch

Title
An Effective Pre-processing Technique for Robust ESPRIT-Based Single-Tone Frequency Estimation against an I/Q Mismatch
Author(s)
Kim, SangdongKim, Bong-seokOh, DaegunLee, Jonghun
Issued Date
2015-12
Citation
Elektronika ir Elektrotechnika, v.21, no.6, pp.34 - 39
Type
Article
Author Keywords
ESPRITpre-processing techniquesingletone frequencyHilbert transformI/Q mismatch
ISSN
1392-1215
Abstract
This letter proposes an effective pre-processing technique for robust estimation of signal parameters via rotational invariance techniques (ESPRIT)-based single-tone frequency estimation against an I/Q mismatch. For the implementation of a high-accuracy ranging/radar system, parametric-based algorithms such as MUSIC, ESPRIT and their variations have been adopted due to their superior estimation capability for single-tone frequency estimations. Since most ranging/radar system have the direct conversion architecture, I/Q imbalance problem occurs in the form of spurious frequencies of the frequency spectrum. For this reason, the proposed pre-processing technique is designed to make use of the Hilbert transform structure for received signals. The estimation performance of the proposed preprocessing technique in single-tone frequency is derived and compared with the results from a Monte-Carlo simulation. The root-mean-square error (RMSE) of the proposed method is compared with that of an ESPRIT-based method for various parameters.
URI
http://hdl.handle.net/20.500.11750/5219
DOI
10.5755/j01.eee.21.6.13757
Publisher
Kauno Technologijos Universitetas
Related Researcher
  • 김상동 Kim, Sangdong
  • Research Interests Radar signal processing; 레이더 신호처리; Image signal processing; 이미지 신호처리; Deep learning recognition; 딥러닝 인식
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Appears in Collections:
Division of Intelligent Robot 1. Journal Articles
Division of Automotive Technology Advanced Radar Tech. Lab 1. Journal Articles
Division of Automotive Technology 1. Journal Articles

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