OTFS Fractional Doppler Channel Estimation and Detection Paper Collection 3 (Abstract)

Written in front: This article was written on July 27, 2023. It compiles the latest top papers on OTFS in IEEE (mostly published in 2023), mainly related to the fractional Doppler problem (44 papers in total, 5 papers updated each time). The original intention of writing this article is to understand the background of the fractional Doppler problem and to understand some of the existing mature solutions to the fractional Doppler problem. Therefore, under the premise of limited time, I only focus on the core parts of the abstract (problem background, solution, Brief details) are translated, and the core parts of the abstract are marked in red or underlined. At the same time, the English abstract is split to facilitate everyone to quickly find the content they need. At the end of the abstract, a summary is written, which is mostly a summary summary and Some simple thoughts or questions of mine.


1. Paper 11: A Novel OTFS System Based on DFrFT-OFDM

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A Novel OTFS System Based on DFrFT-OFDM
Mallaiah, Renikunta and Mani, V. V.  2022 June
IEEE Wireless Communications Letters

original:
  背景:Orthogonal Time Frequency Space modulation (OTFS) is a promising modulation technique expected to counter the severe Doppler effects encountered in a doubly dispersive channel. OTFS scheme is developed on the basis of Orthogonal Frequency Division Multiplexing (OFDM) systems to support communication between high-speed vehicles, whose superiority lies in the domain of the equivalent channel. OTFS converts the Time-Frequency (TF) domain channel in the OFDM system to Delay-Doppler (DD) domain channel that becomes a handy tool to overcome the difficulties faced in a frequency selective channel. 本文方法:This letter presents an OTFS system design that is developed on the Discrete Fractional Fourier Transform (DFrFT) based OFDM system, which is designed to perform better compared to the conventional OTFS system with the same design complexity. The simulation results evidentially show 1 dB gain in power at a Bit-Error-Rate (BER) of and a significant 3 dB decrement in the PAPR when a high power pilot with a 25 dB is inserted in the OTFS data frame.

translate:

A new OTFS system based on DFrFT-OFDM
Background: Orthogonal time-frequency spatial modulation (OTFS) is a promising modulation technique that promises to combat the severe Doppler effect encountered in dual dispersion channels. The OTFS solution is developed based on the Orthogonal Frequency Division Multiplexing (OFDM) system and is used to support communications between high-speed vehicles. Its superiority lies in the equivalent channel domain. OTFS converts the time-frequency (TF) domain channel in OFDM systems into a delayed Doppler (DD) domain channel, becoming a convenient tool to overcome the difficulties faced in frequency-selective channels. Method of this paper: This paper introduces an OTFS system design developed on an OFDM system based on discrete fractional Fourier transform (DFrFT), which achieves better performance compared to traditional OTFS systems with the same design complexity. The simulation results clearly show that when a 25dB high-power pilot is inserted into an OTFS data frame, the power gain is 1dB when the bit error rate (BER) is , and the PAPR drops significantly by 3dB.

Summary: The paper introduces the discrete fractional Fourier transform (DFrFT) based on the design of the OTFS system, which does not increase the complexity and has advantages in reducing PAPR.

二、论文12:Channel Estimation and Equalization for CP-OFDM-based OTFS in Fractional Doppler Channels

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Channel Estimation and Equalization for CP-OFDM-based OTFS in Fractional Doppler Channels
Hashimoto, Noriyuki and Osawa, Noboru and Yamazaki, Kosuke and Ibi, Shinsuke
2021 June
2021 IEEE International Conference on Communications Workshops (ICC Workshops)

original:
  背景:Orthogonal time frequency and space (OTFS) modulation is a promising technology that satisfies high-Doppler requirements for future mobile systems. OTFS encodes information symbols and pilot symbols into the two-dimensional (2D) delay-Doppler (DD) domain. The received symbols suffer from inter-Doppler interference (IDI) in fading channels with fractional Doppler shifts sampled at noninteger indices in the DD domain. The IDI has been treated as an unavoidable effect because the fractional Doppler shifts cannot be obtained directly from the received pilot symbols. 本文方法:This paper provides a solution to channel estimation for fractional Doppler channels with lower computational complexity than a conventional channel estimation method using a pseudo sequence. The proposed estimation provides new insight into the OTFS input-output relation in the DD domain as a 2D circular convolution with a small approximation. According to the input-output relation, we also provide a low-complexity channel equalization method using the estimated channel information. 性能分析:We demonstrate the error performance of the proposed channel estimation and equalization in a high-Doppler channel by simulations. The simulation results show that the proposed channel estimation method outperforms the conventional channel estimation. The results also show that the proposed equalization method has a similar performance to the minimum mean square error equalizer using matrix inversion.

translate:

OTFS channel estimation and equalization technology based on CP-OFDM under fractional Doppler channel
Background: Orthogonal time-frequency and space (OTFS) modulation is a promising technology to meet the high Doppler requirements of future mobile systems. OTFS encodes information symbols and pilot symbols into the two-dimensional (2D) Delayed Doppler (DD) domain. Received symbols suffer inter-Doppler interference (IDI) in fading channels, where fractional Doppler shifts are sampled at non-integer indices in the DD domain. IDI has been considered an unavoidable effect because the fractional Doppler shift cannot be obtained directly from the received pilot symbols. Method of this article: This article provides a channel estimation solution for fractional Doppler channels, which has lower computational complexity than traditional channel estimation methods using pseudo sequences. The proposed estimation provides new insights into the OTFS input-output relationship in the DD domain as a 2D circular convolution with small approximation. Based on the input-output relationship, we also provide a low-complexity channel equalization method using estimated channel information. Performance Analysis: We demonstrate the error performance of the proposed channel estimation and equalization in high Doppler channels through simulations. Simulation results show that the proposed channel estimation method is better than traditional channel estimation. The results also show that the proposed equalization method has similar performance to the minimum mean square error equalizer using matrix inversion.

Summary: This paper aims at the IDI caused by the fractional Doppler influence, which is difficult to remove directly through the received pilot signal. It makes an approximation to the OTFS input-output relationship and proposes a low-cost calculation for the fractional Doppler channel. Complexity channel estimation method.

三、论文13:Deterministic Pilot Design and Channel Estimation for Downlink Massive MIMO-OTFS Systems in Presence of the Fractional Doppler

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Deterministic Pilot Design and Channel Estimation for Downlink Massive MIMO-OTFS Systems in Presence of the Fractional Doppler
Shi, Ding and Wang, Wenjin and You, Li and Song, Xiaohang and Hong, Yi and Gao, Xiqi and Fettweis, Gerhard
2021 Nov
IEEE Transactions on Wireless Communications

original:
  背景(OTFS与MIMO结合的意义与不足):Although the combination of the orthogonal time frequency space (OTFS) modulation and the massive multiple-input multiple-output (MIMO) technology can make communication systems perform better in high-mobility scenarios, there are still many challenges in downlink channel estimation owing to inaccurate modeling and high pilot overhead in practical systems. 本文方法:In this paper, we propose a channel state information (CSI) acquisition scheme for downlink massive MIMO-OTFS in presence of the fractional Doppler, including deterministic pilot design and channel estimation algorithm. 算法细节(四点):First, we analyze the input-output relationship of the single-input single-output (SISO) OTFS based on the orthogonal frequency division multiplexing (OFDM) modem and extend it to massive MIMO-OTFS. |Moreover, we formulate an accurate model for the practical system in which the fractional Doppler is considered and the influence of subpaths is revealed. A deterministic pilot design is then proposed based on the model and the structure of the pilot matrix to reduce pilot overhead and save memory consumption. Since channel geometry changes very slowly relative to the communication timescale, we put forward a modified sensing matrix based channel estimation (MSMCE) algorithm to acquire the downlink CSI. 性能分析:Simulation results demonstrate that the proposed downlink CSI acquisition scheme has significant advantages over traditional algorithms.

translate:

Determination of pilot design and channel estimation for MIMO-OTFS system downlink under fractional Doppler
Background (the significance and shortcomings of the combination of OTFS and MIMO): Although the combination of orthogonal time-frequency space (OTFS) modulation and massive multiple-input multiple-output (MIMO) technology can make the communication system perform better in high-mobility scenarios, due to There are still many challenges in downlink channel estimation due to inaccurate modeling and high pilot overhead in actual systems. Method of this paper: In this paper, we propose a channel state information (CSI) acquisition scheme for downlink massive MIMO-OTFS with fractional Doppler, including deterministic pilot design and channel estimation algorithm. Algorithm details (four points): First, we analyze the input-output relationship of single-input single-output (SISO) OTFS based on orthogonal frequency division multiplexing (OFDM) modem and extend it to massive MIMO-OTFS. |Furthermore, we develop an accurate model for a real system that takes fractional Doppler into account and reveals the effects of subpaths. Then a deterministic pilot design is proposed based on the structure of the model and pilot matrix to reduce pilot overhead and save memory consumption. Since the channel geometry changes very slowly with respect to the communication time scale, we propose an improved sensing matrix-based channel estimation (MSMCE) algorithm to obtain downlink CSI. Performance analysis: Simulation results show that the proposed downlink CSI acquisition scheme has significant advantages over the traditional algorithm.

Summary: This paper studies the issues such as inaccurate modeling and high pilot overhead that may exist in MIMO-OTFS in actual systems. This paper proposes a downlink MIMO-OTFSCSI equalization scheme suitable for fractional Doppler. This solution makes improvements in four aspects: input-output relationship, accurate modeling, pilot design, and sensing matrix.

四、论文14:Embedded Delay-Doppler Channel Estimation for Orthogonal Time Frequency Space Modulation

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Embedded Delay-Doppler Channel Estimation for Orthogonal Time Frequency Space Modulation
Raviteja, P. and Phan, Khoa T. and Hong, Yi and Viterbo, Emanuele
2018 Aug
2018 IEEE 88th Vehicular Technology Conference (VTC-Fall)

original:
  背景:hogonal time frequency space (OTFS) modulation was shown to provide significant error performance advantages over orthogonal frequency division multiplexing (OFDM) over delay-Doppler channels. The channel impulse response is needed at the receiver to perform OTFS detection. 本文方法:In this work, we analyze OTFS-based channel estimation using a pilot symbol embedded in the data frame: 嵌入式导频the pilot symbol with a number of guard zero-symbols is suitably located on the delay-Doppler grid containing the information symbols. Different symbol arrangements are proposed depending on whether the channel has integer or fractional Doppler paths relative to an integer grid. The channel information is first estimated from a group of received symbols using a simple 信道估计:threshold method. The estimated information is then used for data detection within the same frame, via a message passing (MP) algorithm. 性能分析:Numerical results compare the error performance of the proposed schemes and the OTFS scheme with ideal channel estimation under similar spectral and energy efficiency. Moreover, our results show that OTFS with non-ideal channel estimation can still outperform OFDM with ideal channel estimation.

translate:

Embedded delay-Doppler domain channel estimation under OTFS
Background: Orthogonal time-frequency space (OTFS) modulation has been proven to have significant bit error performance advantages compared to orthogonal frequency division multiplexing (OFDM) over delayed Doppler channels. The receiver requires the channel impulse response to perform OTFS detection. Method: In this work, we analyze OTFS-based channel estimation using pilot symbols embedded in data frames: the embedded pilot pilot symbols with multiple guard zero symbols are appropriately located at the delay containing the information symbols. on the Doppler grid. Different symbol arrangements are proposed depending on whether the channel has an integer Doppler path or a fractional Doppler path relative to the integer grid. First, a simple channel estimation is used: the threshold method estimates the channel information from a set of received symbols. Then, the estimated information is used for data detection within the same frame through the message passing (MP) algorithm. Performance analysis: Numerical results compare the error performance of the proposed scheme and the OTFS scheme with ideal channel estimation under similar spectrum and energy efficiency. Furthermore, our results show that OTFS with non-ideal channel estimation still outperforms OFDM with ideal channel estimation.

Summary: This paper was carefully read in the previous blog , and the embedded pilot design was proposed, and the input-output relationship under integer/fractional Doppler was derived respectively. Channel estimation uses a simple threshold estimation method, and signal detection uses the MP algorithm.

五、论文15:Low-Complexity Channel Matrix Calculation for OTFS Systems with Fractional Delay and Doppler

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Low-Complexity Channel Matrix Calculation for OTFS Systems with Fractional Delay and Doppler
Wang, Zheng and Liu, Lingjia and Yi, Yang and Calderbank, Robert and Zhang, Jianzhong
2022 Nov
MILCOM 2022 - 2022 IEEE Military Communications Conference (MILCOM)

original:
  背景:Orthogonal Time Frequency Space (OTFS) modulation has been introduced to manage channel induced high Doppler shifts in mobile communication networks. In an OTFS system, the information carrying symbols are placed in the data frames in the delay-Doppler (DD) domain before transformed into the time domain for transmission. Accordingly, the DD domain channel matrix can be estimated using the corresponding pilots in the DD domain. For OTFS systems with integer delay and Doppler values, the underlying channel matrix in the DD domain is sparse. 问题:1.分数多普勒矩阵失去了稀疏性:However, the counterpart channel matrix is no longer sparse when the delay and Doppler values are fractional.2. 整数情况由于矩阵尺寸大仍是个耗时的问题: In fact, even for the integer case calculating the sparse channel matrix is still time-consuming due to its large size. 本文方法:To significantly reduce the computational complexity, in this paper, we introduce a low complexity algorithm for calculating the channel matrix of OTFS systems with fractional delay and Doppler. The introduced algorithm leverages the circulant property of the underlying channel matrix in the DD domain and calculates a small portion of elements in one initial block. Through some simple operation, the elements in the initial block can be replicated into other parts of the channel matrix. 性能分析:Both theoretical complexity analysis and simulation results demonstrate that our method can significantly reduce the computation complexity when computing the channel matrix. Since DD domain channel matrix is crucial for OTFS receive processing, we believe this is an important step to bring OTFS towards practical communication systems.

translate:

Low-complexity channel matrix calculation for fractional delay/Doppler OTFS system
Background: Orthogonal time-frequency space (OTFS) modulation has been introduced to manage channel-induced high Doppler shifts in mobile communication networks. In the OTFS system, symbols carrying information are placed in data frames in the delayed Doppler (DD) domain and then transformed into the time domain for transmission. Therefore, the DD domain channel matrix can be estimated using the corresponding pilots in the DD domain. For OTFS systems with integer delays and Doppler values, the underlying channel matrix in the DD domain is sparse. Problem: However, when the delay and Doppler values ​​are fractional, the corresponding channel matrix is ​​no longer sparse. In fact, even for the integer case computing the sparse channel matrix is ​​still time-consuming due to its large size. Method of this paper: In order to significantly reduce the computational complexity, in this paper, we introduce a low-complexity algorithm to calculate the channel matrix of the OTFS system with fractional delay and Doppler. The introduced algorithm exploits the cyclic nature of the underlying channel matrix in the DD domain and computes a small set of elements in an initial block. With some simple operations, elements from the initial block can be copied to other parts of the channel matrix. Performance analysis: Both theoretical complexity analysis and simulation results show that our method can significantly reduce the computational complexity when calculating the channel matrix. Since the DD domain channel matrix is ​​crucial for OTFS reception processing, we believe this is an important step towards pushing OTFS into practical communication systems.

Summary: Due to the loss of sparsity of the channel matrix of OTFS in the DD domain under fractional Doppler, it becomes complicated. At the same time, the solution of the sparse channel matrix is ​​still a time-consuming problem due to the large matrix size. Therefore, the paper captures the cyclic characteristics of OTFS and proposes a low-complexity (the initial block is continuously copied to obtain the complete matrix) OTFS fractional delay/Doppler channel matrix calculation method.

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Origin blog.csdn.net/qq_43095255/article/details/131954967