Blind estimation of carrier frequency offset for OFDM systems with time-varying DC offset

Liu, Tao; Li, Hanzhang

doi:10.1016/j.jfranklin.2013.08.026

Cited by 8 publications

(3 citation statements)

References 38 publications

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“…The complex electromagnetic environment of strong confrontation in modern war has put forward higher requirements for radar combat capability, which requires simultaneous multi task, multi-function and simultaneous processing of multiple batches of targets 1-4. Digital array radar [5][6][7][8] has become the first choice. Digital array radar has attracted extensive attention due to its advantages such as instantaneous multi beam forming and strong anti-jamming ability.…”

Section: Introductionmentioning

confidence: 99%

Research on anti-noise jamming of adaptive array based on LMS algorithm

Yao¹,

Dai²

2023

Second International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2023)

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Adaptive array signal processing is widely used in modern radar anti-jamming design. In this paper, simulation research is carried out on the deficiencies of the current research on anti-noise jamming of radar adaptive array. First, starting from the mathematical model of radar adaptive array based on LMS algorithm, the optimal weight vector of adaptive array based on LMS algorithm is derived and established. On this basis, numerical simulation is carried out to analyze and study the performance of anti noise jamming. The research of this paper has certain reference significance for the design of future radar anti-jamming.

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Section: Introductionmentioning

confidence: 99%

Research on anti-noise jamming of adaptive array based on LMS algorithm

Yao¹,

Dai²

2023

Second International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2023)

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“…However, the scheme is only limited to estimations of the DCO without considering the CFO estimation. In [14]- [18], blind joint CFO and DCO estimators were presented by exploring the subspace structure of the received OFDM preamble. In those methods, estimating the CFO in the time domain needs either global searching or singular value decomposition (SVD).…”

Section: Introductionmentioning

confidence: 99%

Sparse Repeated Preamble-Based Direct Current Offset and Frequency Offset Estimator in OFDM Direct Conversion Receivers

2019

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Direct conversion receiver (DCR) architecture has drawn considerable attention in orthogonal frequency-division multiplexing (OFDM) systems. However, OFDM DCRs are sensitive to non-ideal frontend effects and suffer from direct current offset (DCO) and carrier frequency offset (CFO). In this paper, a novel method to estimate DCO and CFO is presented in OFDM DCRs by exploring the sparse symbols embedded in the preamble. In the proposed method, CFO and DCO estimations can be easily decoupled. Next, a robust low-complexity DCO estimation method is proposed by using the sparse properties of the preamble in the frequency domain. Moreover, a novel CFO estimation scheme independent of the DCO is presented based on the repeated preamble structure in which the DCO component focuses on the DC subcarrier when the received preamble signal was not CFO compensated in the frequency domain. The simulation results show that the proposed CFO and DCO estimators can achieve better performance than any available methods.INDEX TERMS Direct current offset (DCO), carrier frequency offset (CFO), orthogonal frequency division multiplexing (OFDM), direct conversion receiver (DCR).

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“…Orthogonal frequency division multiplexing (OFDM) [2][3][4][5], which was originally developed for radio communications, has recently been introduced as a solution for high speed data transmission in optical wireless communications (OWCs) [6], such as visible light communications [7] and free space optical communications [8][9][10]. Compared with conventional single carrier modulation, OFDM has many advantages [2] including efficient utilization of spectrum, robustness to frequency selective channel fading and easy implementation by means of the fast Fourier transform (FFT) and inverse FFT (IFFT), etc.…”

Section: Introductionmentioning

confidence: 99%