• Title/Summary/Keyword: uniform rectangular array (URA)

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ANALYSIS OF SPATIAL AND TEMPORAL ADAPTIVE PROCESSING FOR GNSS INTERFERENCE MITIGATION

  • Chang, Chung-Liang;Juang, Jyh-Ching
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • v.2
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    • pp.143-148
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    • 2006
  • The goal of this paper is to analyze, through simulations and experiments, GNSS interference mitigation performance under various types of antenna structures against wideband and narrowband interferences using spatial-temporal adaptive signal processing (STAP) techniques. The STAP approach, which combines spatial and temporal processing, is a viable means of GNSS array signal processing that enhancing the desired signal quality and providing protection against interference. In this paper, we consider four types of 3D antenna array structure - Uniform Linear Array (ULA), Uniform Rectangular Array (URA), Uniform Circular Array (UCA), and the Single-Ring Cylindrical Array (SRCA) under an interference environment. Analytical evaluation and simulations are performed to investigate the system performance. This is followed by simulation GPS orbits in interfered environment are used to evaluate the STAP performance. Furthermore, experiments using a 2x2 URA hardware simulator data show that with the removal of wideband and narrowband interference through the STAP techniques, the signal tracking performance can be enhanced.

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An Efficient Direct Signal-Based Direction of Arrival Estimation Using Uniform Rectangular Array

  • Cho, Seokhyang
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.10
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    • pp.89-94
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    • 2022
  • This paper proposes a computationally efficient 2-D direction-of-arrival (DoA) estimation method with a uniform rectangular array (URA). This method is called the direct signal-based method in the sense that it is based directly on the phase relationships among the signals arriving at each antenna of an antenna array rather than their correlation matrix. According to the simulation results, it has be shown that the direct signal-based method, with much less computations than any existing methods, yields the performance comparable to that of the MUSIC (MUltiple SIgnal Classification) method in terms of the root-mean-squared error (RMSE) and the maximum absolute error.

Interpolation Technique for 3-D Conformal Array (3차원 콘포멀 어레이에서의 인터폴레이션 기술의 적용)

  • Kang, Kyung-mook;Seol, Kyung-Eun;Jeon, Junghwan;Koh, Jinhwan
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.41 no.12
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    • pp.1748-1751
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    • 2016
  • In this correspondence, we studied 3D uniform rectangular array as an extension of interpolation technique to compensate the beam pattern of 3D conformal array. The simulation result shows outstanding performance comparing to 2D interpolations.

DOA-based Beamforming for Multi-Cell Massive MIMO Systems

  • Hu, Anzhong
    • Journal of Communications and Networks
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    • v.18 no.5
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    • pp.735-743
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    • 2016
  • This paper proposes a direction-of-arrival (DOA)-based beamforming approach for multi-cell massive multiple-input multiple-output systems with uniform rectangular arrays (URAs). The proposed approach utilizes the steering vectors of the URA to form a basis of the spatial space and selects the partial space for beamforming according to the DOA information. As a result, the proposed approach is of lower computational complexity than the existing methods which utilize the channel covariance matrices. Moreover, the analysis demonstrates that the proposed approach can eliminate the interference in the limit of infinite number of the URA antennas. Since the proposed approach utilizes the multipaths to enhance the signal rather than discarding them, the proposed approach is of better performance than the existing low-complexity method, which is verified by the simulation results.

Performance Evaluation of Cascade AOA Estimator Based on Uniform Circular Array

  • Kim, Tae-yun;Hwang, Suk-seung
    • Journal of Positioning, Navigation, and Timing
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    • v.9 no.2
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    • pp.65-70
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    • 2020
  • For a wireless communication system, the angle-of-arrival (AOA) of the signal has a variety of applications. The signal AOA is estimated utilizing various antenna array structure such as Uniform Linear Array (ULA), Uniform Rectangular Array (URA), and Uniform Circular Array (UCA). In this paper, we introduce a cascade AOA estimation algorithm based on the UCA, which is consisted of CAPON and Beamspace MUSIC. CAPON is employed to estimate approximate AOA groups including multiple AOA signals and Beamspace MUSIC is employed to estimate detailed signal AOAs in the estimated AOA groups. In addition, we provide the computer simulation results for verifying and analyzing the performance of the cascade AOA estimator based on UCA.

Mutual Coupling Compensation and Direction Finding for Anti-Jamming 3D GPS Antenna Array (항재밍 3차원 GPS 배열 안테나를 위한 Mutual coupling 보상 및 재밍 방향탐지 알고리즘)

  • Kang, Kyusic;Sin, Cheonsig;Kim, Sunwoo
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.42 no.4
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    • pp.723-730
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    • 2017
  • In this paper, we consider an online compensation algorithm considering the mutual coupling and suggest a new GPS antenna array to apply. To evaluate the anti-jamming performance for the proposed antenna array, ULA and URA, we divide direction finding of multiple jamming signals into environments. 1. there is no mutual coupling. 2. there is mutual coupling but no compensation. 3. mutual coupling is compensated. RMSE analysis showed that the online compensation algorithm works and that peak detection is possible for multiple jamming signals.

3-D interpolation technique and compressive sensing for 3-D conformal array (3차원 interpolation technoque과 compressive sensing을 이용한 비 균일한 3차원 array의 beam pattern 복구)

  • Kang, K;Seol, K;Cesar, W;Jeong, S;Koh, J
    • Proceedings of the Korea Information Processing Society Conference
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    • 2017.04a
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    • pp.106-108
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    • 2017
  • 본 논문에서는 휘어지거나 굴곡진 array인 3차원 conformal array의 beam pattern을 보정하고자 기존의 2차원에서 3차원으로 확장한 interpolation technique과 compressive sensing을 이용하여 3-D uniform rectangular array(3-D URA)에 적용하는 방법을 연구하였다. 시뮬레이션 결과는 compressive sensing이 interpolation technique보다 우수한 특성을 보여준다.