A New Fine Doppler Frequency Estimator Based on Two-Sample FFT for Pulse Doppler Radar

Sang-Dong KIM; Jong-Hun LEE

doi:10.1587/transcom.E96.B.1643

A New Fine Doppler Frequency Estimator Based on Two-Sample FFT for Pulse Doppler Radar

Sang-Dong KIM, Jong-Hun LEE

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We propose a new fine Doppler frequency estimator using two fast Fourier transform (FFT) samples for pulse Doppler radar that offers highly sensitive detection and a high resolution of velocity. The procedure of fine Doppler frequency estimation is completed through coarse frequency estimation (CFE) and fine frequency estimation (FFE) steps. During the CFE step, the integer part of the Doppler frequency is obtained by processing the FFT, after which, during the FFE step, the fractional part is estimated using the relationship between the FFT peak and its nearest resultant value. Our simulation results show that the proposed estimator has better accuracy than Candan's estimator in terms of bias. The root mean square error (RMSE) of the proposed estimator has more than 1.4 time better accuracy than Candan's estimator under a 1,024-point FFT and a signal-to-noise ratio (SNR) of 10 dB. In addition, when the FFT size is increased from 512 to 2,048, the RMSE characteristics of the proposed estimator improve by more than two-fold.

Publication: IEICE TRANSACTIONS on Communications Vol.E96-B No.6 pp.1643-1646

Publication Date: 2013/06/01

Publicized

Online ISSN: 1745-1345

DOI: 10.1587/transcom.E96.B.1643

Type of Manuscript: LETTER

Category: Wireless Communication Technologies

Authors

Sang-Dong KIM
Daegu Geongbuk Institute of Science and Technology
Jong-Hun LEE
Daegu Geongbuk Institute of Science and Technology

Keyword

fine Doppler frequency estimator, FFT, high accuracy, pulse Doppler radar

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Sang-Dong KIM, Jong-Hun LEE, "A New Fine Doppler Frequency Estimator Based on Two-Sample FFT for Pulse Doppler Radar" in IEICE TRANSACTIONS on Communications, vol. E96-B, no. 6, pp. 1643-1646, June 2013, doi: 10.1587/transcom.E96.B.1643.
Abstract: We propose a new fine Doppler frequency estimator using two fast Fourier transform (FFT) samples for pulse Doppler radar that offers highly sensitive detection and a high resolution of velocity. The procedure of fine Doppler frequency estimation is completed through coarse frequency estimation (CFE) and fine frequency estimation (FFE) steps. During the CFE step, the integer part of the Doppler frequency is obtained by processing the FFT, after which, during the FFE step, the fractional part is estimated using the relationship between the FFT peak and its nearest resultant value. Our simulation results show that the proposed estimator has better accuracy than Candan's estimator in terms of bias. The root mean square error (RMSE) of the proposed estimator has more than 1.4 time better accuracy than Candan's estimator under a 1,024-point FFT and a signal-to-noise ratio (SNR) of 10 dB. In addition, when the FFT size is increased from 512 to 2,048, the RMSE characteristics of the proposed estimator improve by more than two-fold.
URL: https://globals.ieice.org/en_transactions/communications/10.1587/transcom.E96.B.1643/_p

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@ARTICLE{e96-b_6_1643,
author={Sang-Dong KIM, Jong-Hun LEE, },
journal={IEICE TRANSACTIONS on Communications},
title={A New Fine Doppler Frequency Estimator Based on Two-Sample FFT for Pulse Doppler Radar},
year={2013},
volume={E96-B},
number={6},
pages={1643-1646},
abstract={We propose a new fine Doppler frequency estimator using two fast Fourier transform (FFT) samples for pulse Doppler radar that offers highly sensitive detection and a high resolution of velocity. The procedure of fine Doppler frequency estimation is completed through coarse frequency estimation (CFE) and fine frequency estimation (FFE) steps. During the CFE step, the integer part of the Doppler frequency is obtained by processing the FFT, after which, during the FFE step, the fractional part is estimated using the relationship between the FFT peak and its nearest resultant value. Our simulation results show that the proposed estimator has better accuracy than Candan's estimator in terms of bias. The root mean square error (RMSE) of the proposed estimator has more than 1.4 time better accuracy than Candan's estimator under a 1,024-point FFT and a signal-to-noise ratio (SNR) of 10 dB. In addition, when the FFT size is increased from 512 to 2,048, the RMSE characteristics of the proposed estimator improve by more than two-fold.},
keywords={},
doi={10.1587/transcom.E96.B.1643},
ISSN={1745-1345},
month={June},}

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TY - JOUR
TI - A New Fine Doppler Frequency Estimator Based on Two-Sample FFT for Pulse Doppler Radar
T2 - IEICE TRANSACTIONS on Communications
SP - 1643
EP - 1646
AU - Sang-Dong KIM
AU - Jong-Hun LEE
PY - 2013
DO - 10.1587/transcom.E96.B.1643
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E96-B
IS - 6
JA - IEICE TRANSACTIONS on Communications
Y1 - June 2013
AB - We propose a new fine Doppler frequency estimator using two fast Fourier transform (FFT) samples for pulse Doppler radar that offers highly sensitive detection and a high resolution of velocity. The procedure of fine Doppler frequency estimation is completed through coarse frequency estimation (CFE) and fine frequency estimation (FFE) steps. During the CFE step, the integer part of the Doppler frequency is obtained by processing the FFT, after which, during the FFE step, the fractional part is estimated using the relationship between the FFT peak and its nearest resultant value. Our simulation results show that the proposed estimator has better accuracy than Candan's estimator in terms of bias. The root mean square error (RMSE) of the proposed estimator has more than 1.4 time better accuracy than Candan's estimator under a 1,024-point FFT and a signal-to-noise ratio (SNR) of 10 dB. In addition, when the FFT size is increased from 512 to 2,048, the RMSE characteristics of the proposed estimator improve by more than two-fold.
ER -