Channel estimation and equalization for CPM with application for aeronautical communications via a satellite link

Chayot, Romain; Thomas, Nathalie; Poulliat, Charly; Boucheret, Marie‐Laure; Wambeke, Nicolas Van; Lesthievent, Guy

doi:10.1109/milcom.2017.8170746

Cited by 9 publications

(13 citation statements)

References 19 publications

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“…which corresponds exactly to the equation (33) of [5] but using the fractionally-spaced representation instead of the polyphase representation.…”

Section: A Received Signal Using Bemmentioning

confidence: 96%

“…To do so, we derive a block-based model by using a known Unique Word (UW), also called training sequence. This approach is also useful to perform frequency-domain equalization, as it allows us to circularize the channel [5]. Similar model has been considered for linear modulation in [16].…”

Section: B Communication System Descriptionmentioning

confidence: 99%

“…As in case of TIV Channel estimation for linear modulation [21] and for CPM [5], we can introduce a parametric dependence on the estimation of the BEM parameters and the delays of the L c paths.…”

Section: B Least Squares Estimation With a Priori Positioningmentioning

confidence: 99%

“…[2] presents simulation results with channel estimation errors but no channel estimator. [5] presents a Least Squares (LS) channel estimation in the time-domain, based on the polyphase representation of the received signal. It also exploits the a priori positioning in order to develop a parametric model on the delays of the paths and so to enhance the performance of the channel estimation.…”

Section: Introductionmentioning

confidence: 99%

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Doubly-Selective Channel Estimation for Continuous Phase Modulation

Chayot¹,

Thomas

Poulliat

et al. 2018

MILCOM 2018 - 2018 IEEE Military Communications Conference (MILCOM)

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In this paper, we present two Data-Aided channel estimators for Continuous Phase Modulation (CPM) in the case of transmissions over doubly-selective channels. They both capitalize on the Basis Expansion Model (BEM), widely used for OFDM systems and for Single Carrier transmission with linear modulation. However, in the case of CPM signals, we need to work on a over-sampled received signal (fractionallyspaced representation) as the equalization techniques are also working on the over-sampled received signal. The first one is a classical Least Squares (LS) estimation of the BEM parameters whereas the second channel estimator introduces first a parametric dependence on the paths delays. Indeed, in the case where those delays are known (by estimation or by geometrical consideration as for the aeronautical channel by satellite), the second LS estimation on the BEM parameters is improved and less computationally demanding. Simulations results are provided and show good performance of our parametric LS estimation.

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“…which corresponds exactly to the equation (33) of [5] but using the fractionally-spaced representation instead of the polyphase representation.…”

Section: A Received Signal Using Bemmentioning

confidence: 96%

Section: B Communication System Descriptionmentioning

confidence: 99%

Section: B Least Squares Estimation With a Priori Positioningmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Doubly-Selective Channel Estimation for Continuous Phase Modulation

Chayot¹,

Thomas

Poulliat

et al. 2018

MILCOM 2018 - 2018 IEEE Military Communications Conference (MILCOM)

Self Cite

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“…FDE based CPM receiver design can be found in [9]- [11], in which the channel fading coefficients are assumed to be perfectly known at the receiver. Recently, random sequence based channel estimation and equalization has been investigated in [12].…”

Section: Introductionmentioning

confidence: 99%

CPM Training Waveforms With Autocorrelation Sidelobes Close to Zero

Liu

Guan

Chui

2018

IEEE Trans. Veh. Technol.

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Abstract-Continuous phase modulation (CPM) plays an important role in wireless communications due to its constant envelope signal property and tight spectrum confinement capability. Although CPM has been studied for many years, CPM training waveforms having autocorrelations with zero sidelobes have not been reported before, to the best of our knowledge. Existing works on CPM system design mostly assume that the channel fading coefficients are either perfectly known at the receiver or estimated using random CPM training waveforms. In this work, we propose a novel class of CPM training waveforms displaying autocorrelation sidelobes close to zero. The key idea of our construction is to apply differential encoding to Golay complementary pair having perfect aperiodic autocorrelation sum properties.

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