New Results on Location-Aware Channel Estimation for Multibeam Satellite Links

Gappmair, Wilfried; Bergmann, Michael; Süsser-Rechberger, Barbara

doi:10.1109/lcomm.2014.2334329

Cited by 9 publications

(2 citation statements)

References 8 publications

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“…The channel estimation methods for the land mobile satellite (LMS) channels can be found in, for example, [9]- [11], where it is assumed that the satellite is equipped with a single antenna. The channel estimation and pilot design for multibeam satellites were analyzed in [12], and the estimation performance was further enhanced in [13] by making use of the location information of UTs.…”

Section: Introductionmentioning

confidence: 99%

Channel Estimation for LEO Satellite Massive MIMO OFDM Communications

Li¹,

Gao²,

Xia³

2022

Preprint

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In this paper, we investigate the massive multiple-input multiple-output orthogonal frequency division multiplexing channel estimation for low-earth-orbit satellite communication systems. First, we use the angle-delay domain channel to characterize the space-frequency domain channel. Then, we show that the asymptotic minimum mean square error (MMSE) of the channel estimation can be minimized if the array response vectors of the user terminals (UTs) that use the same pilot are orthogonal. Inspired by this, we design an efficient graph-based pilot allocation strategy to enhance the channel estimation performance. To reduce the computational complexity, we devise a novel two-stage channel estimation (TSCE) approach, in which the received signals at the satellite are manipulated with per-subcarrier space domain processing followed by per-user frequency domain processing. Moreover, the space domain processing of each UT is shown to be identical for all the subcarriers, and an asymptotically optimal vector for the per-subcarrier space domain linear processing is derived. The frequency domain processing can be efficiently implemented by means of the fast Toeplitz system solver. Simulation results show that the proposed TSCE approach can achieve a near performance to the MMSE estimation with much lower complexity.

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Section: Introductionmentioning

confidence: 99%

Channel Estimation for LEO Satellite Massive MIMO OFDM Communications

Li¹,

Gao²,

Xia³

2022

Preprint

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“…For point‐to‐point links, this has been analysed in detail under different aspects, () whereas for multibeam scenarios, little or no information is available from the open literature. () Motivated by this background, we want to study in the following an algorithm for coarse recovery of carrier frequency and symbol timing in a multibeam downlink channel. In particular, the tracking and acquisition performance of the joint synchronization scheme, developed in Gappmair et al for a single user link, is to be investigated under multibeam conditions.…”

Section: Introductionmentioning

confidence: 99%

Coarse recovery of carrier frequency and symbol timing in multibeam satellite channels

Gappmair

Plimon

Ginesi

2017

Satell Commun Network

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Summary A multibeam concept under full frequency reuse is a major prerequisite for high throughput satellite systems. The resulting interference problems might be tackled by appropriately designed precoding or multiuser detection schemes. However, before such powerful techniques are applicable, the most important transmission parameters have to be recovered successfully. In the context of this paper, a feedback structure for joint control of carrier frequency and symbol timing is investigated for a multibeam scenario, which has been developed in some previous work by the authors for a single user link. It is to be noticed that we describe a recovery method for a multibeam satellite network with suitably selected interference mitigation techniques; as a consequence, all cochannels are assumed to be aligned in frequency and time to the reference beam; other signal models are out of scope and not addressed in this contribution.

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Interference Management Using Cooperative NOMA in Multi-Beam Satellite Systems

Beigi

Soleymani

2018

2018 IEEE International Conference on Communications (ICC)

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New Results on Location-Aware Channel Estimation for Multibeam Satellite Links

Cited by 9 publications

References 8 publications

Channel Estimation for LEO Satellite Massive MIMO OFDM Communications

Channel Estimation for LEO Satellite Massive MIMO OFDM Communications

Coarse recovery of carrier frequency and symbol timing in multibeam satellite channels

Interference Management Using Cooperative NOMA in Multi-Beam Satellite Systems

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