Analysis of OFDM Signals for Ranging and Communications

Graff, Andrew; Blount, William N.; Iannucci, Peter A.; Andrews, Jeffrey G.; Humphreys, Todd E.

doi:10.33012/2021.17991

Cited by 7 publications

(3 citation statements)

References 13 publications

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“…Both WWB and ZZB have long been applied to digital communications systems (Villares, 2005) and positioning (Graff et al, 2021) theoretically and practically (Manlaney 2020;Watson et al, 2020). In terms of GNSS, Denis (2009, chapter 5&6) investigated bounding GNSS code tracking with ZZB.…”

Section: Introductionmentioning

confidence: 99%

School of Mechanical Engineering, Shanghai Jiao Tong University, 200240, Shanghai, China

Zhuang

Huang

et al. 2019

Mathematical Biosciences and Engineering

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The crystallization kinetics and melting behavior of nylon 10,10 in neat nylon 10,10 and in nylon 10,10 -montmorillonite (MMT) nanocomposites were systematically investigated by differential scanning calorimetry. The crystallization kinetics results show that the addition of MMT facilitated the crystallization of nylon 10,10 as a heterophase nucleating agent; however, when the content of MMT was high, the physical hindrance of MMT layers to the motion of nylon 10,10 chains retarded the crystallization of nylon 10,10, which was also confirmed by polarized optical microscopy. However, both nylon 10,10 and nylon 10,10 -MMT nanocomposites exhibited multiple melting be-havior under isothermal and nonisothermal crystallization conditions. The temperature of the lower melting peak (peak I) was independent of MMT content and almost remained constant; however, the temperature of the highest melting peak (peak II) decreased with increasing MMT content due to the physical hindrance of MMT layers to the motion of nylon 10,10 chains.

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Section: Introductionmentioning

confidence: 99%

School of Mechanical Engineering, Shanghai Jiao Tong University, 200240, Shanghai, China

Zhuang

Huang

et al. 2019

Mathematical Biosciences and Engineering

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“…The widely preferred modulation technique in communication networks is OFDM, which finds extensive application in 5G-NR [20]. In the OFDM model, the received baseband signal can be mathematically expressed as the convolution of the transmitted OFDM signal, denoted as s(t), and the channel impulse response, denoted as g(t).…”

Section: A Ofdm Modelmentioning

confidence: 99%

Power Delay Profile Based Ranging via Approximate EM-ReVAMP

Xiao,

Zhao,

Slock

2023

2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD)

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Accurate distance estimation is of utmost importance in enabling seamless positioning and location-based services for 5G and Beyond 5G (B5G) networks. This paper focuses on addressing the ranging problem caused by multipath propagation, utilizing the widely adopted Nakagami-m amplitude fading model. We propose a novel method for estimating range based on Multipath Components (MPCs), establishing a relationship between the distribution parameters and propagation distance. To address the estimation problem within the MPCs-based ranging method, we employ the Expectation Maximization (EM)-Revisited Approximate Message Passing (ReVAMP) algorithm. This algorithm is specifically designed to handle challenges in parameter estimation for generalized linear models (GLMs) with hidden random variables and intractable posterior distributions during EM iterations. Simulation results have been conducted to prove the accuracy and robustness of our ranging method, which consistently confirm its effectiveness.

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“…The orthogonal frequency division multiplexing (OFDM) is employed in widely recognized standards such as IEEE 802.11, long term evolution (LTE), and 5G NR [1]. Consequently, there is a growing interest in leveraging wireless signals to extract distance estimates and provide accurate user positioning, particularly in environments where GPS signals may be unreliable, such as indoor or complex settings.…”

Section: Introductionmentioning

confidence: 99%

Channel State Information Based Ranging via EM-reVAMP Algorithm

Xiao,

Zhao,

Slock

2023

2023 20th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)

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The Channel State Information (CSI) of the orthogonal frequency division multiplexing (OFDM) comprises data pertaining to the attenuation of multipath propagation. In this paper, we assume that the amplitude fading of both line-ofsight (LoS) and non-line-of-sight (NLoS) paths conforms to the Nakagami-m distribution. Via establishing a relationship between the distribution parameters and the propagation distance, we propose a CSI-based ranging method utilizing the Expectation Maximization (EM)-Revisited Approximate Message Passing (reVAMP) algorithm. This algorithm is not only applicable to the CSI-based ranging estimation but can also be extended to other parameter estimation scenarios. It effectively tackles challenges associated with generalized linear models (GLMs) that involve hidden random variables and the intractability of posterior distributions during the EM iterations.

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Analysis of OFDM Signals for Ranging and Communications

Cited by 7 publications

References 13 publications

School of Mechanical Engineering, Shanghai Jiao Tong University, 200240, Shanghai, China

School of Mechanical Engineering, Shanghai Jiao Tong University, 200240, Shanghai, China

Power Delay Profile Based Ranging via Approximate EM-ReVAMP

Channel State Information Based Ranging via EM-reVAMP Algorithm

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