Traffic Target Location Estimation Based on Tensor Decomposition in Intelligent Transportation System

Wen

et al. 2022

Sensors

Direction-of-arrival (DOA) estimation is the preliminary stage of communication, localization, and sensing. Hence, it is a canonical task for next-generation wireless communications, namely beyond 5G (B5G) or 6G communication networks. Both massive multiple-input multiple-output (MIMO) and millimeter wave (mmW) bands are emerging technologies that can be implemented to increase the spectral efficiency of an area, and a number of expectations have been placed on them for future-generation wireless communications. Meanwhile, they also create new challenges for DOA estimation, for instance, through extremely large-scale array data, the coexistence of far-field and near-field sources, mutual coupling effects, and complicated spatial-temporal signal sampling. This article discusses various open issues related to DOA estimation for B5G/6G communication networks. Moreover, some insights on current advances, including arrays, models, sampling, and algorithms, are provided. Finally, directions for future work on the development of DOA estimation are addressed.

Section: Signal Model Of Doa Estimationmentioning

confidence: 99%

DOA Estimation in B5G/6G: Trends and Challenges

Ruan

Wen

et al. 2022

Sensors

“…Tanks to the growing maturity of array signal processing technology, parameter estimation gradually occupies an important position in the felds of vehicle positioning, radar, medical diagnosis, and so on [1]. As one of the bases for parameter estimation, direction-of-arrival (DOA) estimation has been a hot topic for decades accompanied by a series of work [2][3][4]. Afterwards, benefting from the increasing development of multiple-input multiple-output (MIMO) technique, MIMO radar architectures have been developed to provide high degrees of freedom (DOF) and resolution for DOA estimation [5].…”

Section: Introductionmentioning

confidence: 99%

Real‐Valued Weighted Subspace Fitting Algorithm for DOA Estimation with Block Sparse Recovery

Mathematical Problems in Engineering

Shi³

et al. 2023

In this paper, the problem of direction-of-arrival (DOA) estimation for strictly noncircular sources under the condition of unknown mutual coupling is concerned, and then a robust real-valued weighted subspace fitting (WSF) algorithm is proposed via block sparse recovery. Inspired by noncircularity, the real-valued coupled extended array output with double array aperture is first structured via exploiting the real-valued conversion. Then, an efficient real-valued block extended sparse recovery model is constructed by performing the parameterized decoupling operation to avoid the unknown mutual coupling and noncircular phase effects. Thereafter, the WSF framework is investigated to recover the real-valued block sparse matrix, where the spectrum of real-valued NC MUSIC-like is utilized to design a weighted matrix for strengthening the solutions sparsity. Eventually, DOA estimation is achieved based on the support set of the reconstructed block sparse matrix. Owing to the combination of noncircularity, parametrized decoupling thought, and reweighted strategy, the proposed method not only effectively achieves high-precision estimation, but also efficiently reduces the computational complexity. Plenty of simulation results demonstrate the effectiveness and efficiency of the proposed method.

“…Target localization methods include laser ranging [1], photography [2], sonar [3]- [5], and radar [6]- [13], etc. The laser ranging method determines the shell fall location using a rangefinder on the ship, while the photographic method captures images of the shells' trajectory and fall point with a high-speed camera for analysis.The sonar method detects acoustic signals generated when shells fall into water using sonar equipment installed in underwater equipment, enabling determination of the strike position and off-target volume information [14], [15].…”

Section: Introductionmentioning

confidence: 99%

Sea Fall Point Measurement Method Based on Cone Angle Intersection

et al. 2023

IEEE Access

The naval gun strikes against the sea need to measure the deviation of the fall point to determine the accuracy and hit probability. In order to improve the accuracy of measuring the fall point position of the naval gun, this paper proposes a maritime fall point measurement method based on cone angle intersection, which does not need to use the axis angle data of the equipment and eliminates the dependence on the equipment's axis angle data when measuring accuracy. Firstly, the photographic measurement method is used to achieve automatic optical intersection of single equipment at different moments, using two observation stations and one cooperative target ship. Then, the image data within 10 km from the measured target are collected using two observation stations. The line of sight directions and angles of the two observation stations are combined to measure the target object and the cooperative target ship at each observation station. The constraint of the approximate equal radius of the Earth ellipsoid is added under close range conditions. The cone angle intersection model mapping relationship is established. Finally, the coordinate position of the target object in three-dimensional space is calculated using field tests at sea and compared with the actual position for analysis.The experimental results show that the measured fall point is within 5 m in the range of 700 m with a ratio of more than 75%. This has increased the range of measurement accuracy processing and proved the feasibility of the measurement method. The method can be used for calibrating large and medium caliber naval gun firing to the sea to improve the firing accuracy of the weapon. It has guiding significance for measuring the fall point position of naval guns at sea.INDEX TERMS maritime fall point measurement, cone angle intersection, photographic measurement, optical intersection.