Joint 2-D DOA and TOA Estimation for Multipath OFDM Signals Based on Three Antennas

Chen, Longliang; Qi, Wangdong; Yuan, En; Zhao, Yuexin

doi:10.1109/lcomm.2017.2769678

Cited by 19 publications

(9 citation statements)

References 5 publications

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“…It is reported in [41] and [62] that the PLL tracking error of carrier phase is about 10% of a wavelength resulting from multipath/NLoS, as compared to 1% of the wavelength in the presence of a dominating LoS path. On the other hand, the time-delay estimation errors attributed to multipath propagations range from 0.1 ns to 1 ns (or equivalently, 0.03 m to 0.3 m in distance) in 5G systems, when the transmitter and receivers are synchronized [18], [45], [63], [64]. For this reason, we set the standard deviations (STDs) of the ToAbased distance measurement noise to 0.1 m, 0.3 m and 0.5 m; and set the STDs of the CPoA-based distance measurement noise to 0.001 m, 0.002 m and 0.003 m, which are 10%, 20% and 30% of a wavelength (i.e., 0.01 m), respectively.…”

Section: Simulation Results and Analysismentioning

confidence: 99%

Carrier Phase-Based Synchronization and High-Accuracy Positioning in 5G New Radio Cellular Networks

Fan

Tian

et al. 2022

IEEE Trans. Commun.

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Inspired by excellent precision of carrier phase positioning, this paper presents a new carrier phase positioning technique for 5G new radio cellular networks with a focus on clock synchronization and integer ambiguity resolution. A carrier-phase based clock offset estimation method is first proposed to achieve precise clock synchronization among base stations, and proved to achieve the Cramér-Rao Lower Bound (CRLB) asymptotically. A fusion method is developed to fuse the estimated positions of a mobile station (MS) based on time-difference-of-arrival, with the estimated position changes based on the temporal changes of carrier phase measurements. While circumventing the integer ambiguities of the carrier phase measurements, the fusion method provides quality interim estimates of the MS positions, at which the measurements can be linearized to resolve the integer ambiguities. As a result, precise MS positions can be obtained based on the disambiguated carrier phase measurements. Numerical simulations show that the proposed carrier phase positioning can achieve a centimeterlevel accuracy in wireless cellular networks.

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Section: Simulation Results and Analysismentioning

confidence: 99%

Carrier Phase-Based Synchronization and High-Accuracy Positioning in 5G New Radio Cellular Networks

Fan

Tian

et al. 2022

IEEE Trans. Commun.

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“…L OCATION information plays an important role in many applications, such as mobile navigation, smart home, and augmented reality, and accurate localization has always been a hot research field. In recent years, indoor localization based on WiFi signals has been greatly developed due to channel state information (CSI), which describes the amplitude and phase of WiFi signals and can be used to estimate signal parameters, such as the Angle of Arrival (AoA) [1], [5], Time of Flight (ToF) [2]- [4], Angle of Departure (AoD) [16], [17], and the Doppler frequency shift [8], [19], [20] to achieve high precision localization and tracking [7], [8]. At present, many researches focus on the estimation of WiFi signal parameters.…”

Section: Introductionmentioning

confidence: 99%

Decimeter Level Indoor Localization Using WiFi Channel State Information

Yang

Wang

et al. 2022

IEEE Sensors J.

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Indoor localization using WiFi signal parameters is challenging, with encouraging decimeter localization results available with enough line-of-sight coverage and hardware infrastructure. This paper proposes a new 2-dimensional multiple packets based matrix pencil (2D M-MP) method to estimate the Angle of Arrival (AoA) and Time of Flight (ToF) based on WiFi channel state information (CSI). Compared with the conventional parameter estimation algorithms, this method has two advantages. First, 2D M-MP method uses the discrete Fourier transform (DFT) to convert the complex computation into real computation to reduce the computational complexity significantly without losing accuracy. Second, it accumulates multiple CSI packets to improve the parameter estimation accuracy effectively, especially at low values of signal-to-noiseratio (SNR) environment. To verify the practicability of our proposed 2D M-MP method, we set up a localization system in an actual scenario using commodity WiFi cards which demonstrates that the performance of 2D M-MP method is better than conventional parameter estimation algorithms and can achieve a localization accuracy of 42 cm in indoor hall deployment.

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“…Another method is introduced in [22] that can achieve joint estimation by using a 2D active broadband MIMO-OFDM system, which requires a large number of antennas. Furthermore, [23] needs only three antennas to achieve joint DOA and TOA estimation based on multidimensional peak searching. e abovementioned methods can achieve high precision, but the computational complexity is too high.…”

Section: Introductionmentioning

confidence: 99%

A Novel Method for DOA and Time Delay Joint Estimation in Multipath OFDM Environment

Cui

et al. 2020

International Journal of Antennas and Propagation

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Joint time delay and direction of arrival estimation based on uniform linear arrays in Orthogonal Frequency Division Multiplexing (OFDM) systems has to face the problems posed by coherent multipath environments and high computational complexity. In this paper, a novel fast method is proposed to achieve a joint direction-of-arrival (DOA) and time-dealy (TD) estimation of multipath OFDM signals by fully using space-frequency characteristics. Firstly, we construct an extended virtual array by combining the array structure and frequency-domain information. Then, we calculate the extended channel frequency response matrix and adopt smoothing processing to eliminate the multipath effect. Next, we get the result of DOA estimation by using a closed-form solution, which costs little complexity and can achieve fast estimation. Finally, we conduct a one-dimensional spectral search using the obtained DOA values to estimate time delays. Simulation results show that our proposed methods have excellent performance even under low SNR conditions in different multipath environments. Furthermore, methods proposed in this paper have much less computational complexity and better estimation performance compared with the multidimensional spectral peak search methods.

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Joint 2-D DOA and TOA Estimation for Multipath OFDM Signals Based on Three Antennas

Cited by 19 publications

References 5 publications

Carrier Phase-Based Synchronization and High-Accuracy Positioning in 5G New Radio Cellular Networks

Carrier Phase-Based Synchronization and High-Accuracy Positioning in 5G New Radio Cellular Networks

Decimeter Level Indoor Localization Using WiFi Channel State Information

A Novel Method for DOA and Time Delay Joint Estimation in Multipath OFDM Environment

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