Multi-BS Spatial Spectrum Fusion for 2-D DOA Estimation and Localization Using UCA in Massive MIMO System

He, Di; Chen, Xin; Pei, Ling; Zhu, Fusheng; Jiang, Lingge; Wang, Yu

doi:10.1109/tim.2020.3029363

Cited by 28 publications

(22 citation statements)

References 32 publications

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“…According to (9), we expand the single subcarrier channel frequency domain response H l into L subcarriers to obtain the spatial-frequency extended channel frequency domain response matrix H ∈ C M 2 L�S , whose expression is…”

Section: Signal Modelmentioning

confidence: 99%

“…Time delay (TD) estimation is one of the important techniques to achieve ranging [6] and localisation [7], which has the advantage of simple structure and high estimation accuracy. Angle of arrival (AOA) estimation is a main research direction in array signal processing, which is used to achieve direction finding [8] and localisation [9] with great localisation precision. Analogous to the time domain narrowband model, the multiple signal classification (MUSIC) algorithm is used in Ref.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Fast joint estimation for time delay and angle of arrival based on smooth preprocessing with orthogonal frequency division multiplexing

Du¹,

Cui²,

Ba³

et al. 2022

IET Radar Sonar & Navi

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In order to solve the problems of high complexity and absence of adaptability with the joint estimation for time delay (TD) and angle of arrival (AOA) in coherent multipath environments, a fast estimation algorithm based on orthogonal frequency division multiplexing (OFDM) technique is proposed. First, we combine OFDM signal characteristics with array features to obtain extended arrays. Then, we obtain the channel frequency domain response covariance matrices for TD and AOA estimation separately by smoothing preprocessing in the spatial and frequency domains, respectively. Finally, we estimate the TD values by a one‐dimensional (1‐D) spectral peak search, as well as determine the closed‐form solution for AOA by Unitary‐ESPRIT. In comparison with previous work, the proposed algorithm not only improves the adaptability in correlated or mixed multipath environments but also significantly reduces the complexity. The simulation results show the effectiveness and robustness of the proposed joint estimation algorithm.

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Section: Signal Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Fast joint estimation for time delay and angle of arrival based on smooth preprocessing with orthogonal frequency division multiplexing

Du¹,

Cui²,

Ba³

et al. 2022

IET Radar Sonar & Navi

View full text Add to dashboard Cite

show abstract

“…Several solutions allow the estimation of DoA for narrowband signals including high-resolution subspace algorithms like MVDR [31], MUSIC [32], and ESPRIT [33]. Meanwhile, new research has suggested new directions in this field of study [34][35][36]. Recently, different solutions that allow obtaining these results both in digital signal processing-based systems [37][38][39] and in machine learning-based approaches [40,41] have been proposed.…”

Section: Introductionmentioning

confidence: 99%

Microphone Array for Speaker Localization and Identification in Shared Autonomous Vehicles

et al. 2022

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With the current technological transformation in the automotive industry, autonomous vehicles are getting closer to the Society of Automative Engineers (SAE) automation level 5. This level corresponds to the full vehicle automation, where the driving system autonomously monitors and navigates the environment. With SAE-level 5, the concept of a Shared Autonomous Vehicle (SAV) will soon become a reality and mainstream. The main purpose of an SAV is to allow unrelated passengers to share an autonomous vehicle without a driver/moderator inside the shared space. However, to ensure their safety and well-being until they reach their final destination, active monitoring of all passengers is required. In this context, this article presents a microphone-based sensor system that is able to localize sound events inside an SAV. The solution is composed of a Micro-Electro-Mechanical System (MEMS) microphone array with a circular geometry connected to an embedded processing platform that resorts to Field-Programmable Gate Array (FPGA) technology to successfully process in the hardware the sound localization algorithms.

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“…Among different types of antenna arrays, the uniform circular array (UCA) is popular in MIMO systems since its beam shape does not change with the azimuth directions [5], which can improve the reliability of precoding and beamforming under different azimuths. Such benefit attracts many scholars to investigate the DoA estimation in UCA-based MIMO systems, and the effective methods such as the maximum-likelihood (ML) method [6], the multiple signal classification (MUSIC) algorithm [7], estimating signal parameters via rotational invariance techniques (ESPRIT) [8] and some deep-learning-based methods [9]- [11] are developed for estimating DoAs with UCA. These methods achieve different trade-offs between performance and complexity, thereby satisfying the demands of various scenarios.…”

Section: Introductionmentioning

confidence: 99%

Efficient Wideband DoA Estimation with a Robust Iterative Method in UCA-based MIMO Systems

Ding¹,

Xu²,

Wang³

2022

Preprint

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In multiple-input multiple-output systems, direction-of-arrival (DoA) estimation is a critical technique as the basis of precoding and beamforming. With the ever-increasing requirement of high data rate and ubiquitous devices, effective wideband DoA estimation is desirable. In this paper, we propose an iterative coherent signal-subspace method including three steps in each iteration for two-dimensional (2D) DoA estimation with a uniform circular array. The first step selects partial frequency points for the subsequent focusing process to reduce unnecessary complexity. The second step realizes the focusing process, where we provide angle intervals to generate focusing matrices with robustness, and the signal-subspaces at the selected frequency points are focused into a reference frequency. The third step estimates DoAs with the multiple signal classification algorithm where the range of the spatial spectrum is constrained by the aforementioned angle intervals, thereby further reducing the complexity. The key parameters of the proposed method in the current iteration are adjusted based on the previous estimation results. In addition, we derive the Cramér-Rao bound of the investigated wideband 2D DoA estimation to provide guidance for practical applications. The simulation results indicate that our proposed method enjoys better performance and implementation efficiency when compared with benchmark methods.

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Multi-BS Spatial Spectrum Fusion for 2-D DOA Estimation and Localization Using UCA in Massive MIMO System

Cited by 28 publications

References 32 publications

Fast joint estimation for time delay and angle of arrival based on smooth preprocessing with orthogonal frequency division multiplexing

Fast joint estimation for time delay and angle of arrival based on smooth preprocessing with orthogonal frequency division multiplexing

Microphone Array for Speaker Localization and Identification in Shared Autonomous Vehicles

Efficient Wideband DoA Estimation with a Robust Iterative Method in UCA-based MIMO Systems

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