Relevant bibliographies by topics / Delay-Doppler Representation

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Academic literature on the topic 'Delay-Doppler Representation'

Author: Grafiati
Published: 6 September 2023
Last updated: 31 July 2025

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Journal articles on the topic "Delay-Doppler Representation"

1

Li, Jie, Fangjiong Chen, Songzuo Liu, Hua Yu, and Fei Ji. "Estimation of Overspread Underwater Acoustic Channel Based on Low-Rank Matrix Recovery." Sensors 19, no. 22 (2019): 4976. http://dx.doi.org/10.3390/s19224976.

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In this paper, the estimation of overspread, i.e., doubly spread underwater acoustic (UWA) channels of strong dispersion is considered. We show that although the UWA channel dispersion causes the degeneration of channel sparsity, it leads to a low-rank structure especially when the channel delay-Doppler-spread function is separable in delay and Doppler domain. Therefore, we introduce the low-rank criterion to estimate the UWA channels, which can help to improve the estimation performance in the case of strong dispersion. The estimator is based on the discrete delay-Doppler-spread function repr
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2

Jiao, Jian, and Xue Jiao Zheng. "Extended Sparse Multipath Channel Capacity Estimation Based on Adaptive Array Configuration." Advanced Materials Research 765-767 (September 2013): 2728–31. http://dx.doi.org/10.4028/www.scientific.net/amr.765-767.2728.

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A virtual representation of the sparse multipath wireless channel model is proposed based on a physical wireless channel, the channel corresponds to a delay in Doppler scattering angle, uniform sampling in signal space dimensions. This virtual representation model, through the antenna array configuration extension on MIMO channel capacity was estimated. The simulation results show that the three typical antenna array configuration enough that the performance of channel optimal at all SNR conditions can be approximated, reconfigurable arrays can achieve channel capacity expansion purposes.
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3

Shi, Wentao, Mingqi Jin, Lianyou Jing, Nan Tu, and Chengbing He. "Adaptive Channel Estimation Based on Multidirectional Structure in Delay-Doppler Domain for Underwater Acoustic OTFS System." Remote Sensing 16, no. 17 (2024): 3157. http://dx.doi.org/10.3390/rs16173157.

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Time-varying underwater acoustic (UWA) channels are the key challenge of underwater acoustic communication (UAC). Although UAC exhibits time-variance characteristics significantly in time domains, its delay-Doppler (DD) domain representation tends to be time-invariant. Orthogonal time–frequency space (OTFS) modulation has recently been proposed and has acquired widespread interest due to its excellent performance over time-varying channels. In the UWA OTFS system, the novel DD domain channel estimation algorithm that employs a multidirectional adaptive moving average scheme is proposed. Specif
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4

Gleason, Scott, Andrew O’Brien, Anthony Russel, Mohammad M. Al-Khaldi, and Joel T. Johnson. "Geolocation, Calibration and Surface Resolution of CYGNSS GNSS-R Land Observations." Remote Sensing 12, no. 8 (2020): 1317. http://dx.doi.org/10.3390/rs12081317.

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This paper presents the processing algorithms for geolocating and calibration of the Cyclone Global Navigation Satellite System (CYGNSS) level 1 land data products, as well as analysis of the spatial resolution of Global Navigation Satellite System Reflectometry (GNSS-R) coherent reflections. Accurate and robust geolocation and calibration of GNSS-R land observations are necessary first steps that enable subsequent geophysical parameter retrievals. The geolocation algorithm starts with an initial specular point location on the Earth’s surface, predicted by modeling the Earth as a smooth ellips
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Mthembu, S. H., S. B. Malinga, A. D. M. Walker, and L. Magnus. "Characterization of ultra low frequency (ULF) pulsations and the investigation of their possible source." Annales Geophysicae 27, no. 8 (2009): 3287–96. http://dx.doi.org/10.5194/angeo-27-3287-2009.

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Abstract. In this paper we present the results from the observation of ultra low frequency (ULF) pulsations in the Doppler velocity data from SuperDARN HF radar located at Goose Bay (61.94° N, 23.02° E, geomagnetic). Fourier spectral techniques were used to determine the spectral content of the data and the results show Pc 5 ULF pulsations (with a frequency range of 1 to 4 mHz) where the magnetic field lines were oscillating at discrete frequencies of about 1.3 and 1.9 mHz. These pulsations are classified as field lines resonance (FLR) since the 1.9 mHz component exhibited an enhancement in am
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Zhu, Weixin, Siqi Liu, Shiming Xu, and Lu Zhou. "A 12-year climate record of wintertime wave-affected marginal ice zones in the Atlantic Arctic based on CryoSat-2." Earth System Science Data 16, no. 6 (2024): 2917–40. http://dx.doi.org/10.5194/essd-16-2917-2024.

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Abstract. The wave-affected marginal ice zone (MIZ) is an essential part of the sea ice cover and crucial to the atmosphere–ice–ocean interaction in the polar region. While we primarily rely on in situ campaigns for studying MIZs, significant challenges exist for the remote sensing of MIZs by satellites. This study develops a novel retrieval algorithm for wave-affected MIZs based on the delay-Doppler radar altimeter on board CryoSat-2 (CS2). CS2 waveform power and waveform stack statistics are used to determine the part of the sea ice cover affected by waves. Based on the CS2 data since 2010,
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7

Sergienko, A. B., P. V. Apalina, and A. D. Lebedinskaya. "Flexible Configurable Modular Neural Network-Based OFDM Receiver." Journal of the Russian Universities. Radioelectronics 28, no. 3 (2025): 11–23. https://doi.org/10.32603/1993-8985-2025-28-3-11-23.

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Introduction. Orthogonal frequency division multiplexing (OFDM) is the dominant modulation scheme in mobile communications. OFDM systems should be capable of operating across a wide range of multipath fading channel conditions. The recent research focus in this field has been on the design of OFDM receivers based on machine learning, including artificial neural networks. Neural networks in such receivers are typically trained for one specific communication system configuration. This complicates the use of neural network-based receivers in real-world systems, thus rendering development of more
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8

Li, Xuan, and Xiaochuan Ma. "Joint Doppler shift and time delay estimation by deconvolution of generalized matched filter." EURASIP Journal on Advances in Signal Processing 2021, no. 1 (2021). http://dx.doi.org/10.1186/s13634-021-00741-7.

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AbstractResolution probability is the most important indicator for signal parameter estimator, including estimating time delay, and joint Doppler shift and time delay. In order to get high-resolution probability, some procedures have been suggested such as compressed sensing. Based on the signal’s sparsity, compressed sensing has been used to estimate signal parameters in recent research. After solving ℓ0 norm Optimization problem, the methods would achieve high resolution. These methods all require high SNR. In order to improve the performance in low SNR, a novel implementation is proposed in
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9

Singh, U. K., A. K. Singh, V. Bhatia, and A. K. Mishra. "EKF- and UKF-Based Estimators for Radar System." Frontiers in Signal Processing 1 (August 2, 2021). http://dx.doi.org/10.3389/frsip.2021.704382.

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In radar, the measurements (like the range and radial velocity) are determined from the time delay and Doppler shift. Since the time delay and Doppler shift are estimated from the phase of the received echo, the concerned estimation problem is nonlinear. Consequently, the conventional estimator based on the fast Fourier transform (FFT) is prone to yield high estimation errors. Recently, nonlinear estimators based on kernel least mean square (KLMS) are introduced and found to outperform the conventional estimator. However, estimators based on KLMS are susceptible to incorrect choice of various
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Gu, De-Feng, Zheng Zhang, Yangyu Ding, and Wei Chunbo. "B-spline based arm length estimation algorithm for space-borne gravitational wave detection." Classical and Quantum Gravity, April 30, 2025. https://doi.org/10.1088/1361-6382/add2ca.

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Abstract Data preprocessing is an essential step in space-borne gravitational wave detection, aimed at calibrating the data while suppressing noise. Time delay interferometry (TDI) represents the primary technique for eliminating laser frequency noise, relying on precise arm length information. In this study, we combined pseudo-random noise (PRN) ranging and Doppler measurements from TianQin's data to create an observation equation and established an arm length model using a cubic B-spline function. To ensure accurate representation of the arm length and relative velocity, we employed quadrupl
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Dissertations / Theses on the topic "Delay-Doppler Representation"

1

Surabhi, G. D. "On Orthogonal Time Frequency Space Modulation for Wireless Communications." Thesis, 2020. https://etd.iisc.ac.in/handle/2005/4461.

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Future wireless communication systems are envisioned to support diverse requirements that include high mobility application scenarios such as high-speed trains, and vehicle-to-vehicle and vehicle-toinfrastructure communications. The dynamic nature of wireless channels in such scenarios makes them doubly-dispersive in nature. Orthogonal time frequency space (OTFS) modulation is a recent two-dimensional (2D) modulation technique specially suited for doubly-dispersive wireless channels. A fundamental feature of OTFS modulation is that the information symbols in OTFS modulation are multiplexed in
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