Spatially Correlated MIMO-OTFS for LEO Satellite Communication Systems

Bora, Amit Sravan; Phan, Khoa T.; Hong, Yi

doi:10.1109/iccworkshops53468.2022.9814666

Cited by 15 publications

(5 citation statements)

References 17 publications

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“…In general, the influence of spatial correlation on system performance has been widely studied under different contexts. The authors in [ 16 ] considered whitening transformations at both the transmitter and the receiver and eliminated spatial correlations to enhance the error performance of LEO Satcom systems based on MIMO-orthogonal time frequency space (OTFS). Consequently, the authors in [ 17 ] quantified the effects of fading correlations in multi-element antenna (MEA) systems using a spatial Rayleigh-fading correlation model (MIMO)-based receiver diversity system.…”

Section: Related Workmentioning

confidence: 99%

Direction-of-Arrival (DoA) Estimation Performance for Satellite Applications in a Multipath Environment with Rician Fading and Spatial Correlation

Hasib

Kandeepan

Rowe

et al. 2023

Sensors

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Direction-of-arrival (DoA) estimation methods are highly versatile and find extensive applications in satellite communication. DoA methods are employed across a range of orbits, from low Earth orbits (LEO) to geostationary Earth orbits (GEO). They serve multiple applications, including altitude determination, geolocation and estimation accuracy, target localization, and relative and collaborative positioning. This paper provides a framework for modeling the DoA angle in satellite communications with respect to the elevation angle. The proposed approach employs a closed-form expression that incorporates various factors, such as the antenna boresight angle, satellite and Earth station positions, and the altitude parameters of the satellite stations. By leveraging this formulation, the work accurately calculates the Earth station’s elevation angle and effectively models the DoA angle. To the authors’ knowledge, this contribution is unique and has not been previously addressed in the available literature. Furthermore, this paper studies the impact of spatial correlation in the channel on well-known DoA estimation techniques. As a significant part of this contribution, the authors introduce a signal model incorporating correlation in satellite communication. Although selected studies have presented spatial signal correlation models in satellite communications to analyze the performance metrics, such as the bit error or symbol error probability, outage probability, and ergodic capacity, this work stands out by presenting and adapting a correlation model in the signal specifically for studying DoA estimations. Accordingly, this paper evaluates DoA estimation performance using root mean square error (RMSE) measurements for different satellite communication link conditions (uplink and downlink) through extensive Monte Carlo simulations. The simulation’s performance is evaluated by comparing it with the Cramer–Rao lower bound (CRLB) performance metric under additive white Gaussian noise (AWGN) conditions, i.e., thermal noise. The simulation results demonstrate that incorporating a spatial signal correlation model for DoA estimations significantly improves RMSE performance in satellite systems.

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Section: Related Workmentioning

confidence: 99%

Direction-of-Arrival (DoA) Estimation Performance for Satellite Applications in a Multipath Environment with Rician Fading and Spatial Correlation

Hasib

Kandeepan

Rowe

et al. 2023

Sensors

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“…In the context of satellite communication systems, spatial correlation is a common issue for the Multiple Input Multiple Output (MIMO) communication channel. As stated in [17], spatial correlation may arise from channel properties, antenna patterns, or inadequate spacing between the antennas at the transmitter or the receiver. Therefore, it is essential to investigate the influence of spatial correlation on system performance.…”

Section: Related Workmentioning

confidence: 99%

Direction of Arrival (DoA) Estimation Performance for Satellite Applications with Spatial Correlation in a Multipath Environment

Hasib¹,

Kandeepan²,

Rowe³

et al. 2023

Preprint

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The Direction-of-Arrival (DoA) estimation methods are highly versatile and find extensive applications in satellite communication. The DoA methods are employed across a range of orbits, from Low Earth Orbits (LEO) to Geostationary Earth Orbits (GEO). They serve multiple applications, including altitude determination, geolocation and estimation accuracy, target localization, and relative and collaborative positioning. This paper presents a novel approach for modeling the DoA angle using a closed-form expression, incorporating the boresight angle and satellite and Earth station position data. The method uses the geographic coordinate system in the satellite communication system, precisely the latitude and longitude of the Earth station and altitude parameters of the satellite stations, to calculate the Earth station’s elevation angle and accurately model the DoA angle. Furthermore, this paper performs a comprehensive comparative analysis of various DoA methods to gain deeper insights into the performance of DoA estimation in multi-antenna systems operating under spatially correlated channels. Accordingly, this paper evaluates DoA estimation performance using root-mean-square-error (RMSE) statistics for uplink and downlink conditions through extensive Monte Carlo simulations. The simulation’s effectiveness is validated against the Cramer-Rao Bound (CRB) performance metric for the Additive white Gaussian noise (AWGN) case. (i.e., thermal noise). The simulation results demonstrate improved RMSE performance in satellite systems by incorporating spatial correlation into the system model.

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“…Due to the rapid variations of TSL, we consider the doubly dispersive channel [12] in this work. Then, we adopt the spreading-based scheme [4] [5] for grant-free transmission and the OFDM-based OTFS modulation to combat the doubly dispersive effect of the TSL.…”

Section: A Input-output Relationshipmentioning

confidence: 99%

“…The above steps are repeated until convergence. Finally, information symbols and the estimated channel are given by ( 24) and the expectation with respect to (22), respectively, and the active devices can be detected according to (12). The complexity of the algorithm is mainly from the GAMP algorithm and the message passing updates, with a total complexity of O(QU M N 2 N a +|A|KU M N N a ), which is linear in the number of users and thus suitable for random access in LEO satellite communications.…”

Section: Learning the Hyperparametersmentioning

confidence: 99%

LEO Satellite-Enabled Grant-Free Random Access with MIMO-OTFS

Shen

Zhang

et al. 2022

GLOBECOM 2022 - 2022 IEEE Global Communications Conference

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This paper investigates joint device identification, channel estimation, and signal detection for LEO satellite-enabled grant-free random access, where a multiple-input multipleoutput (MIMO) system with orthogonal time-frequency space modulation (OTFS) is utilized to combat the dynamics of the terrestrial-satellite link (TSL). We divide the receiver structure into three modules: first, a linear module for identifying active devices, which leverages the generalized approximate message passing (GAMP) algorithm to eliminate inter-user interference in the delay-Doppler domain; second, a non-linear module adopting the message passing algorithm to jointly estimate channel and detect transmit signals; the third aided by Markov random field (MRF) aims to explore the three dimensional block sparsity of channel in the delay-Doppler-angle domain. The soft information is exchanged iteratively between these three modules by careful scheduling. Furthermore, the expectation-maximization algorithm is embedded to learn the hyperparameters in prior distributions. Simulation results demonstrate that the proposed scheme outperforms the conventional methods significantly in terms of activity error rate, channel estimation accuracy, and symbol error rate.

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Spatially Correlated MIMO-OTFS for LEO Satellite Communication Systems

Cited by 15 publications

References 17 publications

Direction-of-Arrival (DoA) Estimation Performance for Satellite Applications in a Multipath Environment with Rician Fading and Spatial Correlation

Direction-of-Arrival (DoA) Estimation Performance for Satellite Applications in a Multipath Environment with Rician Fading and Spatial Correlation

Direction of Arrival (DoA) Estimation Performance for Satellite Applications with Spatial Correlation in a Multipath Environment

LEO Satellite-Enabled Grant-Free Random Access with MIMO-OTFS

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