ML estimation of time and frequency offset in OFDM systems

Beek, Jaap van de; Sandell, Magnus; Börjesson, Per Ola

doi:10.1109/78.599949

Cited by 1,909 publications

(1,089 citation statements)

References 15 publications

Supporting

Mentioning

1,073

Contrasting

Unclassified

Order By: Relevance

“…Many excellent works on the topic of CFO estimation have been reported by other researchers [3][4][5][6][7][8][9][10][11][12][13][14]. Among these contributions, according to whether the CFO estimators use training sequences or not, they could be classified as blind ones [3][4][5] and data-aided ones [6][7][8][9][10][11][12][13][14]. Focusing on blind approaches, Beek develops a maximum likelihood (ML) estimator in [3] by exploiting the redundancy in the cyclic prefix (CP).…”

Section: Introductionmentioning

confidence: 99%

“…Among these contributions, according to whether the CFO estimators use training sequences or not, they could be classified as blind ones [3][4][5] and data-aided ones [6][7][8][9][10][11][12][13][14]. Focusing on blind approaches, Beek develops a maximum likelihood (ML) estimator in [3] by exploiting the redundancy in the cyclic prefix (CP). Liu and Tureli take advantage of the known OFDM subspace structure due to the placement of virtual subcarriers and propose blind estimation methods reminiscent of spectral analysis techniques in array processing, i.e., MUSIC and ESPRIT [4,5].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Frequency Offset Estimation for OFDM Systems with a Novel Frequency Domain Training Sequence

Jiang¹

2006

IEICE Transactions on Communications

View full text Add to dashboard Cite

SUMMARY A novel frequency domain training sequence and the corresponding carrier frequency offset (CFO) estimator are proposed for orthogonal frequency division multiplexing (OFDM) systems over frequency-selective fading channels. The proposed frequency domain training sequence comprises two types of pilot tones, namely distinctively spaced pilot tones with high energies and uniformly spaced ones with low energies. Based on the distinctively spaced pilot tones, integer CFO estimation is accomplished. After the subcarriers occupied by the distinctively spaced pilot tones and their adjacent subcarriers are nulled for the sake of interference cancellation, fractional CFO estimation is executed according to the uniformly spaced pilot tones. By exploiting a predefined lookup table making the best of the structure of the distinctively spaced pilot tones, computational complexity of the proposed CFO estimator can be decreased considerably. With the aid of the uniformly spaced pilot tones generated from Chu sequence with cyclically orthogonal property, the ability of the proposed estimator to combat multipath effect is enhanced to a great extent. Simulation results illustrate the good performance of the proposed CFO estimator.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Frequency Offset Estimation for OFDM Systems with a Novel Frequency Domain Training Sequence

Jiang¹

2006

IEICE Transactions on Communications

View full text Add to dashboard Cite

show abstract

“…This paper mainly focused on the antenna diversity technique. In [6,10], the authors proposed space time frequency coding schemes to implement MIMO at the transmitter with multiple antennas and the design of receiver with efficient signal processing. In [27], they proposed space time frequency coding with the combination of OFDM to achieve MIMO optimization.…”

Section: Introductionmentioning

confidence: 99%

Hardware Implementation of MISO on Orthogonal Frequency Division Multiplexing Platform with the Help of Alamouti Algorithm

Kilaru¹

2017

International Journal of Electronics and Telecommunications

View full text Add to dashboard Cite

Abstract-Many software based OFDM techniques were proposed from last half decade to improve the performance of the system. This paper tried to implement the same with Hardware implementation. We created Hardware based MISO platform with OFDM. We implemented Alamouti algorithm on this test bed. The test bed is implemented with the help of Field Programmable Gate Array (FPGA). The test bed is functionalized with the help of FPGA through Xilinx based system generator for DSP. In this paper we considered the 2×1 MISO implementation with Alamouti algorithm. The simulation results showed that BER and SNR are considerably high for MISO than SISO. The results also proved that proposed OFDM based Alamouti implementation for MISO is excellent in all performance criterions.

show abstract

“…The frequency offset estimation method uses a cyclic prefix (CP) or a preamble. Many methods [17][18][19] use CP. The frequency offset estimation using the CP is included in data packet.…”

Section: Introductionmentioning

confidence: 99%

An Elaborate Frequency Offset Estimation for Ofdm Systems

Nam¹,

Yoon²,

Song³

2008

PIER Letters

View full text Add to dashboard Cite

Abstract-In this paper, a carrier frequency offset estimation scheme in orthogonal frequency division multiplexing is proposed. We focus on increasing the correlation of each PN sequence code repeated in one preamble. We aim at getting an efficiency like using many preambles. The proposed method can improve the performance of the system by estimating fine frequency offset. Also, the proposed method enhances reliability by maximizing the number of correlations compared with the established method in time domain.

show abstract

ML estimation of time and frequency offset in OFDM systems

Cited by 1,909 publications

References 15 publications

Frequency Offset Estimation for OFDM Systems with a Novel Frequency Domain Training Sequence

Frequency Offset Estimation for OFDM Systems with a Novel Frequency Domain Training Sequence

Hardware Implementation of MISO on Orthogonal Frequency Division Multiplexing Platform with the Help of Alamouti Algorithm

An Elaborate Frequency Offset Estimation for Ofdm Systems

Contact Info

Product

Resources

About