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Journal articles on the topic 'Carrier frequency estimation'

Author: Grafiati
Published: 30 May 2022
Last updated: 31 July 2025

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1

Moon, Todd K., and Jacob H. Gunther. "Kurtosis-Based Symbol Timing and Carrier Phase/Frequency Tracking." Entropy 23, no. 7 (2021): 819. http://dx.doi.org/10.3390/e23070819.

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Kurtosis is known to be effective at estimating signal timing and carrier phase offset when the processing is performed in a “burst mode,” that is, operating on a block of received signal in an offline fashion. In this paper, kurtosis-based estimation is extended to provide tracking of timing and carrier phase, and frequency offsets. The algorithm is compared with conventional PLL-type timing/phase estimation and shown to be superior in terms of speed of convergence, with comparable variance in the matched filter output symbols.
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2

Oh, Jong-Kyu, and Joon-Tae Kim. "Carrier Frequency Offset Estimation Method for Single-Carrier MIMO Systems." Journal of Broadcast Engineering 17, no. 5 (2012): 864–75. http://dx.doi.org/10.5909/jbe.2012.17.5.864.

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3

Gul, Malik Muhammad Usman, Sungeun Lee, and Xiaoli Ma. "Carrier frequency offset estimation for OFDMA uplink using null sub-carriers." Digital Signal Processing 29 (June 2014): 127–37. http://dx.doi.org/10.1016/j.dsp.2014.02.015.

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4

Yuan, Xiao-hua, Wu-zhong Luo, and Lai-yuan Luo. "Blind Carrier Frequency Estimation for MPSK Signal." Journal of Electronics & Information Technology 30, no. 5 (2011): 1148–50. http://dx.doi.org/10.3724/sp.j.1146.2006.01687.

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5

Nahlah M.A.M Najm, Nahlah M. A. M. Najm, Nada Adnan Taher Nada Adnan Taher, and Oleksandr Valchenko, Oleksandr Turovsky Oleksandr Valchenko, Oleksandr Turovsky. "IMPROVEMENT OF THE METHODOLOGY FOR EVALUATING THE CARRIER FREQUENCY OF THE SIGNAL DURING DATA TRANSMISSION IN TELECOMMUNICATION CONTROL AND DISTANCE LEARNING SYSTEMS." PIRETC-Proceeding of The International Research Education & Training Centre 24, no. 03 (2023): 56–65. http://dx.doi.org/10.36962/piretc24032023-56.

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Effectiveness of the application of telecommunications systems is directly influenced by the effectiveness of the functioning of each component and device of its design. The article directly examines the issue of improving the carrier frequency estimation methodology for data transmission in telecommunication management and distance learning systems. The essence of the solution lies in proposals for improving the efficiency of frequency estimation at the input signal synchronization stage, which is presented on the example of a satellite telecommunication control system and distance learning.
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6

Xiang, Chen, Zhi Wei, and Xiao Yihan. "Carrier Frequency Estimation based on Frequency Domain and Wavelet Ridge." International Journal of Performability Engineering 15, no. 8 (2019): 2107. http://dx.doi.org/10.23940/ijpe.19.08.p10.21072115.

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7

Stanković, Veljko. "Iterative Frequency Domain Maximum Likelihood OFDM Carrier Frequency Offset Estimation." Wireless Personal Communications 91, no. 2 (2016): 975–87. http://dx.doi.org/10.1007/s11277-016-3508-1.

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8

Su, Ing Jiunn, and Chiao Chan Huang. "Robust MVDR Estimation via Polynomial Rooting for MC-CDMA Carrier Frequency Offset." Applied Mechanics and Materials 284-287 (January 2013): 2687–93. http://dx.doi.org/10.4028/www.scientific.net/amm.284-287.2687.

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In this letter, we present a blind carrier frequency offset (CFO) estimator by exploiting the polynomial rooting technique for multicarrier-code division multiple access (MC-CDMA) systems. Relative high accuracy and low-complexity to the CFO estimation can be achieved by rooting a polynomial. Simulation results are provided for illustrating the effectiveness of the proposed blind polynomial rooting estimator.
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9

Wang, Yung-Yi, Bo-Rui Chen, and Chih-Hsiang Hsu. "Efficient Maximum Likelihood Algorithm for Estimating Carrier Frequency Offset of Generalized Frequency Division Multiplexing Systems." Mathematics 11, no. 15 (2023): 3426. http://dx.doi.org/10.3390/math11153426.

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This study presents a computationally efficient maximum likelihood (ML) algorithm for estimating the carrier frequency offset (CFO) of generalized frequency division multiplexing systems. The proposed algorithm uses repetitive subsymbols and virtual carriers to estimate the fractional and integer CFOs, respectively. Through the use of repetitive subsymbols, this study first calculates the ML estimate of the fractional CFO in the time domain and then, accordingly, compensates for it from the received signal. The integer CFO can then be estimated through a virtual-carrier-mapping process in the
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10

Morelli, M., and U. Mengali. "Feedforward carrier frequency estimation with MSK-type signals." IEEE Communications Letters 2, no. 8 (1998): 235–37. http://dx.doi.org/10.1109/4234.709442.

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11

McKeown, M. A., D. G. M. Cruickshank, I. A. B. Lindsay, J. S. Thompson, S. A. Farson, and Y. Hu. "Carrier frequency offset estimation in BLAST MIMO systems." Electronics Letters 39, no. 24 (2003): 1752. http://dx.doi.org/10.1049/el:20031106.

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12

Xiong, Peng, Liuli Wu, Zheng Liu, and Wenli Jiang. "An Estimation Method for number of carrier frequency." MATEC Web of Conferences 22 (2015): 02027. http://dx.doi.org/10.1051/matecconf/20152202027.

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13

LUO, M. "Blind Carrier Frequency Offset Estimation in MIMO-OFDM." IEICE Transactions on Communications E88-B, no. 10 (2005): 4117–20. http://dx.doi.org/10.1093/ietcom/e88-b.10.4117.

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14

HUANG, C. C. "Blind Estimation of MC-CDMA Carrier Frequency Offset." IEICE Transactions on Communications E89-B, no. 9 (2006): 2646–51. http://dx.doi.org/10.1093/ietcom/e89-b.9.2646.

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15

Morelli, M., and U. Mengali. "Carrier-frequency estimation for transmissions over selective channels." IEEE Transactions on Communications 48, no. 9 (2000): 1580–89. http://dx.doi.org/10.1109/26.870025.

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16

Jian Li, Guoqing Liu, and G. B. Giannakis. "Carrier frequency offset estimation for OFDM-based WLANs." IEEE Signal Processing Letters 8, no. 3 (2001): 80–82. http://dx.doi.org/10.1109/97.905946.

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17

Biao Chen. "Maximum likelihood estimation of OFDM carrier frequency offset." IEEE Signal Processing Letters 9, no. 4 (2002): 123–26. http://dx.doi.org/10.1109/97.1001648.

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18

Brusin, E. "Direct Sequence Spread Spectrum Signal’s Demodulator Acquisition Implementation Based on Fast Fourier Transform. Part 2. Carrier Frequency Estimation." Proceedings of Telecommunication Universities 9, no. 1 (2023): 35–40. http://dx.doi.org/10.31854/1813-324x-2023-9-1-35-40.

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Signals with direct spread spectrum are widespread in modern communication and navigation systems. Often for communication channels in which such signals are used, significant changes in the carrier frequency in relation to the information speeds of the received signals are characteristic. In particular, for communication channels with significant Doppler shift. Therefore, estimation of the carrier frequency plays a key role in solving the problem of initial synchronization of demodulators of signals with direct spectral broadening. In the first part of the paper, the main approaches to solvin
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19

Man, Xin, Hai Tao Zhai, and Er Yang Zhang. "A Simplified Carrier Frequency Offset Estimation Algorithm for Burst Digital Transmission." Applied Mechanics and Materials 239-240 (December 2012): 1255–58. http://dx.doi.org/10.4028/www.scientific.net/amm.239-240.1255.

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In this letter, we present a carrier frequency offset estimation method for burst digital transmission, by introducing a step factor into an earlier estimation algorithm to reduce the computational complexity, with little loss of the estimation accuracy. Performance simulations show that this method can separate the estimation range and accuracy, avoiding the weakness of reaching large estimation range at the expense of estimation accuracy.
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20

Kim, Y. D., J. K. Lim, C. Suh, and Y. H. Lee. "Designing Training Sequences for Carrier Frequency Estimation in Frequency-Selective Channels." IEEE Transactions on Vehicular Technology 55, no. 1 (2006): 151–57. http://dx.doi.org/10.1109/tvt.2005.861173.

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21

Yu, Chang Ha, Young Po Lee, Sun Yong Kim, Gyu In Jee, and Seok Ho Yoon. "Estimation of OFDM Carrier Frequency Offset Robust to Offset Variation." Applied Mechanics and Materials 284-287 (January 2013): 2642–46. http://dx.doi.org/10.4028/www.scientific.net/amm.284-287.2642.

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In this paper, we propose a novel carrier frequency offset (CFO) estimation scheme for orthogonal frequency division multiplexing (OFDM) systems. The proposed scheme has much wider estimation range compared with that of the conventional scheme, making it more robust to the fractional FO variation. Numerical results demonstrate that the proposed scheme has better estimation performance than the conventional scheme for wider fractional FO range.
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22

You, Young-Hwan, Yong-An Jung, Sung-Hun Lee, and Intae Hwang. "Blockwise Joint Detection of Physical Cell Identity and Carrier Frequency Offset for Narrowband IoT Applications." Mathematics 11, no. 18 (2023): 3812. http://dx.doi.org/10.3390/math11183812.

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This paper presents a novel formulation for detecting the secondary synchronization signal in a narrowband Internet of Things communication system. The proposed approach is supported by a noncoherent algorithm that eliminates the need for channel information. A robust joint synchronization scheme is developed by decoupling the estimations of the physical cell identity and the carrier frequency offset. We derive the detection probability of the proposed physical cell identity detector and the mean squared error of the carrier frequency offset estimator, demonstrating their accuracy through simu
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23

Jung, Yong-An, and Young-Hwan You. "Efficient Joint Estimation of Carrier Frequency and Sampling Frequency Offsets for MIMO-OFDM ATSC Systems." Symmetry 10, no. 11 (2018): 554. http://dx.doi.org/10.3390/sym10110554.

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Multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) is appealing for the provision of high spectral efficiency in digital terrestrial broadcast systems. To fully obtain its advantageous features, it is very important to remove the frequency mismatch between the transmitter and the receiver. In this paper, we present the performance analysis of joint estimation of carrier and sampling frequency offsets in the MIMO-OFDM-based advanced television systems committee (ATSC) 3.0 system. In the MIMO-OFDM ATSC system, the continual pilot (CP) is primarily utilized to p
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24

Zhang, Dong Ling, and Lin Dong Ge. "High-Accuracy Carrier Frequency Offset Estimation for MPSK Signals." Applied Mechanics and Materials 195-196 (August 2012): 599–602. http://dx.doi.org/10.4028/www.scientific.net/amm.195-196.599.

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In this paper a high accuracy estimation algorithm of carrier frequency offset for MPSK signals in Gaussian white noise is proposed. Like the conventional practice, first the algorithm employs nonlinear processing to convert the MPSK signal to single sinusoidal signal, followed by windowed FFT, and then a method based on energy center correction is used to achieve accurate estimation. Simulation results have proved the feasibility,easiness of implementation, and the performance improvements in terms of accuracy and data length needed.
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25

Yang, Gang, Hua Xin Yu, and Xiao Fei Zhang. "Compressed Sensing Based Blind Carrier Frequency Offset Estimation for OFDM System." Advanced Materials Research 756-759 (September 2013): 1894–97. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.1894.

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In this paper, we address the problem of carrier frequency offset (CFO) estimation for Orthogonal Frequency Division Multiplexing (OFDM) systems. This paper links CFO estimation problem in OFDM systems to the compressed sensing model. Exploiting this link, it derives a compressed sensing-based CFO estimation algorithm. The proposed algorithm has better CFO estimation performance than ESPRIT method with lower signal-to-noise ratio (SNR). Simulation results illustrate performance of this algorithm.
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26

Sari, Yolen Perdana, and Shelvi Eka Tassia. "Estimasi Carrier Ferquency Offset menggunakan Timing Metric pada Sinyal OFDM." Jurnal Informatika Universitas Pamulang 5, no. 4 (2021): 466. http://dx.doi.org/10.32493/informatika.v5i4.6725.

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OFDM is one of technology that can be utilized in a variety of telecommunication systems that being widely developed today, for application in LAN, WLAN, 3G, 4G, or 5G. One of the problem faced by the OFDM technology that its sensitivity to Carrier Frequency Offset (CFO) and the lack of synchronization in the OFDM signal. This research aims to design the synchronization that estimates Carrier Frequency Offset (CFO) to obtain synchronization of OFDM signal, where the error of the estimated Carrier Frequency Offset can be obtained, minimized and better than previous studies. The CFO estimation m
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27

Gao, Xiangchuan, Xupeng Zhang, Linlin Duan, et al. "A Carrier Parameter Decoupling Algorithm for High Order APSK Modulation." Wireless Communications and Mobile Computing 2021 (December 16, 2021): 1–10. http://dx.doi.org/10.1155/2021/1685260.

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In satellite communication, carrier parameter estimation usually uses a serial structure, and the accuracy of frequency offset estimation (FOE) will greatly affect the accuracy of phase offset estimation (POE). A new carrier synchronization mode (NCSM) can realize the decoupling of carrier FOE and POE to a certain extent, but this mode is based on multibase phase shift keying (MPSK) modulation analysis, the decoupling performance is poor when uses in amplitude phase shift keying (APSK) modulation, and the decoupling performance of NCSM has a low tolerance of frequency offset. An improved carri
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28

Liu, Yang, Jing He, and Hui Zhi Zou. "An Emulation of Carrier Acquisition Algorithm Based on FFT Frequency Guide." Applied Mechanics and Materials 444-445 (October 2013): 1407–11. http://dx.doi.org/10.4028/www.scientific.net/amm.444-445.1407.

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Beginning with an introduction of algorithm principle for Baseband Equipment to implement carrier acquisition in digital field, costas loop of acquisition and tracking, PSD estimation of FFT frequency guide are developed. Then the quality of classical PSD estimation and Modern PSD estimation has been analyzed and compared especially by Matlab simulation.
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29

Badran, Ehab F., Marwa Samara, and Nour Eldin Ismail. "Carrier frequency offset estimation for MIMO single-carrier FDMA system in wireless communication." Alexandria Engineering Journal 61, no. 9 (2022): 6907–17. http://dx.doi.org/10.1016/j.aej.2021.12.036.

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30

Wang, Huiming, and Qinye Yin. "Multiuser carrier frequency offsets estimation for OFDMA uplink with generalized carrier assignment scheme." IEEE Transactions on Wireless Communications 8, no. 7 (2009): 3347–53. http://dx.doi.org/10.1109/twc.2009.080022.

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31

CHEN, Ju-Ya. "Carrier Frequency Offset Estimation for OFDM Systems by Histogram." IEICE Transactions on Communications E93-B, no. 10 (2010): 2766–68. http://dx.doi.org/10.1587/transcom.e93.b.2766.

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32

Zhang, Rongxin, Yiyin Wang, and Xiaoli Ma. "Channel Estimation for OCDM Transmissions With Carrier Frequency Offset." IEEE Wireless Communications Letters 11, no. 3 (2022): 483–87. http://dx.doi.org/10.1109/lwc.2021.3133467.

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33

Cheng, Peng, Zhuo Chen, Frank de Hoog, and Chang Kyung Sung. "Sparse Blind Carrier-Frequency Offset Estimation for OFDMA Uplink." IEEE Transactions on Communications 64, no. 12 (2016): 5254–65. http://dx.doi.org/10.1109/tcomm.2016.2615106.

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34

Liu, Yang, Yong Tie, Shun Na, and Shenglong Tan. "Carrier Frequency Estimation with Cyclostationary Signals in Impulsive Noise." International Journal of Signal Processing, Image Processing and Pattern Recognition 9, no. 6 (2016): 89–102. http://dx.doi.org/10.14257/ijsip.2016.9.6.08.

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35

Chen, T. C., and T. T. Lin. "Low‐complexity carrier frequency offset estimation for UFMC systems." Electronics Letters 55, no. 14 (2019): 819–21. http://dx.doi.org/10.1049/el.2019.1466.

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36

Dai, X. "Carrier frequency offset estimation and correction for OFDMA uplink." IET Communications 1, no. 2 (2007): 273. http://dx.doi.org/10.1049/iet-com:20060032.

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37

Moosvi, S. M. A., D. C. McLernon, A. G. Orozco-Lugo, M. M. Lara, and M. Ghogho. "Carrier Frequency Offset Estimation using Data-Dependent Superimposed Training." IEEE Communications Letters 12, no. 3 (2008): 179–81. http://dx.doi.org/10.1109/lcomm.2008.071822.

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38

Weile Zhang, Feifei Gao, Qinye Yin, and A. Nallanathan. "Blind Carrier Frequency Offset Estimation for Interleaved OFDMA Uplink." IEEE Transactions on Signal Processing 60, no. 7 (2012): 3616–27. http://dx.doi.org/10.1109/tsp.2012.2193572.

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39

CHEN, J. Y., and M. H. HSIEH. "Single Carrier Frequency Offset Estimation with Low Threshold Effect." IEICE Transactions on Communications E91-B, no. 10 (2008): 3364–67. http://dx.doi.org/10.1093/ietcom/e91-b.10.3364.

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40

CHANG, A. C., C. HSU, and I. J. SU. "Efficient Blind Estimation of MC-CDMA Carrier Frequency Offset." IEICE Transactions on Communications E91-B, no. 9 (2008): 3004–8. http://dx.doi.org/10.1093/ietcom/e91-b.9.3004.

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41

Chen, B., and H. Wang. "Blind Estimation of OFDM Carrier Frequency Offset via Oversampling." IEEE Transactions on Signal Processing 52, no. 7 (2004): 2047–57. http://dx.doi.org/10.1109/tsp.2004.828899.

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42

Ma, Yi, and Rahim Tafazolli. "Estimation of Carrier Frequency Offset for Multicarrier CDMA Uplink." IEEE Transactions on Signal Processing 55, no. 6 (2007): 2617–27. http://dx.doi.org/10.1109/tsp.2006.890883.

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43

Morelli, Michele, and Marco Moretti. "Carrier Frequency Offset Estimation for OFDM Direct-Conversion Receivers." IEEE Transactions on Wireless Communications 11, no. 7 (2012): 2670–79. http://dx.doi.org/10.1109/twc.2012.051512.120057.

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44

Shim, Eu-Suk, Sang-Tae Kim, Hyoung-Kyu Song, and Young-Hwan You. "OFDM Carrier Frequency Offset Estimation Methods With Improved Performance." IEEE Transactions on Broadcasting 53, no. 2 (2007): 567–73. http://dx.doi.org/10.1109/tbc.2007.894793.

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45

Solis-Estrella, H., and A. G. Orozco-Lugo. "Carrier Frequency Offset Estimation in OFDMA using Digital Filtering." IEEE Wireless Communications Letters 2, no. 2 (2013): 199–202. http://dx.doi.org/10.1109/wcl.2013.011713.120872.

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46

Bai, Lin, and Qinye Yin. "CRB of carrier frequency offset estimation with virtual subcarriers." Electronics Letters 48, no. 4 (2012): 215. http://dx.doi.org/10.1049/el.2011.3095.

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47

Liu, Siqi, and Shaowei Wang. "Efficient Carrier Frequency Offset Estimation in Wireless Sensor Networks." IEEE Sensors Letters 7, no. 5 (2023): 1–4. http://dx.doi.org/10.1109/lsens.2023.3266430.

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48

Wang, Yung-Yi, Shih-Jen Yang, and Ting-Chieh Lin. "Efficient carrier frequency offset estimation algorithm for generalized frequency division multiplexing systems." Signal Processing 172 (July 2020): 107540. http://dx.doi.org/10.1016/j.sigpro.2020.107540.

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49

Feifei Gao and A. Nallanathan. "Identifiability of data-aided carrier-frequency offset estimation over frequency selective channels." IEEE Transactions on Signal Processing 54, no. 9 (2006): 3653–57. http://dx.doi.org/10.1109/tsp.2006.879277.

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50

Wang, Yung-Yi, Chun-Wei Huang, and Wei-Wei Chen. "Maximum likelihood carrier frequency offset estimation algorithm with adjustable frequency acquisition region." Journal of the Franklin Institute 355, no. 5 (2018): 2978–85. http://dx.doi.org/10.1016/j.jfranklin.2018.01.028.

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