Carrier frequency offset estimation for linear channels with periodic characteristics

Shaked, Roee; Shlezinger, Nir; Dabora, Ron

doi:10.1109/spawc.2016.7536846

Cited by 2 publications

(1 citation statement)

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“…4] it was studied for MIMO-OFDM scenarios. The work [8] proposed a CFO estimation scheme for periodic channels without estimating the unknown CIR coefficients. Yet, none of these works considered joint CFO and CIR estimation over linear periodic channels, modeled as having linear periodically time-varying (LPTV) CIRs with additive cyclostationary Gaussian noise (ACGN).…”

Section: Introductionmentioning

confidence: 99%

Joint carrier frequency offset and channel impulse response estimation for linear periodic channels

Shaked

Shlezinger

Dabora

2017

2017 25th European Signal Processing Conference (EUSIPCO)

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Abstract-We study joint estimation of the channel impulse response (CIR) and of the carrier frequency offset (CFO) for linear channels in which both the CIR and the noise statistics vary periodically in time. This model corresponds to interferencelimited communications as well as to power line communication and doubly selective channels. We first consider the joint maximum likelihood estimator (JMLE) for the CIR and the CFO and show it has a high computational complexity and relatively low spectral efficiency. This motivates the derivation of two estimation schemes with higher spectral efficiency and lower computational complexity compared to the JMLE, obtained by exploiting both the periodicity of the channel and the fact that, typically, the delay-Doppler spreading function of the CIR is approximately sparse, without requiring a-priori knowledge of the sparsity pattern. The proposed estimation schemes are numerically tested and the results demonstrate that substantial benefits can be obtained by properly accounting for the approximate sparsity and periodicity in the design of the estimation scheme.

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Section: Introductionmentioning

confidence: 99%