• Title/Summary/Keyword: uniform array

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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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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.

ESPRIT target position estimation with uniform linear array and uniform circular array (등간격 선형어레이와 등간격 원형어레이 레이더를 위한 ESPRIT 표적 위치 추정 기법)

  • NamGoong, Geol;Lim, Jong-Tae;Yoo, Do-Sik
    • Journal of Advanced Navigation Technology
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    • v.16 no.6
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    • pp.952-959
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    • 2012
  • In this paper, we propose an ESPRIT based algorithm for target position estimation with uniform linear array (ULA) and uniform circular array (UCA) at transmitter and receiver, respectively. When UCA is adopted at the receiver, unlike the case of ULA at the receiver, the rotational invariance of the received signal is satisfied. Although there has been an attempt to resolve this issue, the problem of direction of departure estimation has not been considered. In this paper, we provide an ESPRIT based algorithm to simultaneously estimate transmitter elevation angle, receiver elevation angle, and receiver azimuth angle, taking into account the transmitter antennas as well as the receiver antennas.

Design of Antenna Array and Hybrid Receiver in Sidehaul System (사이드홀 시스템에서 안테나 배열 설계 및 하이브리드 수신기)

  • Moon, Sangmi;Choe, Hun;Chu, Myeonghun;Kim, Daejin;Kim, Cheol-Sung;Hwang, Intae
    • Journal of the Institute of Electronics and Information Engineers
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    • v.52 no.5
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    • pp.10-22
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    • 2015
  • Recently, 3rd Generation Partnership Project (3GPP) has developed sidehaul system to cope with the explosively increasing mobile data traffic. The sidehaul system is based on single carrier-frequency division multiple access (SC-FMDA) due to its low peak to average power ratio (PAPR). Also, antenna array is designed to support multiple input multiple output (MIMO) in a restricted space. In this paper, we design the antenna array about uniform linear array (ULA), uniform circular array (UCA) and uniform planar array (UPA), and analysis the performance in sidehaul system. In addition, we propose the novel hybrid receiver full suppression cancellation (FSC) to reduce the interference from neighbor cell in sidehaul system. The proposed receiver can suppress and cancel the interference by combining interference rejection combining (IRC) with successive interference cancellation (SIC).

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.

New Elements Concentrated Planar Fractal Antenna Arrays for Celestial Surveillance and Wireless Communications

  • Jabbar, Ahmed Najah
    • ETRI Journal
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    • v.33 no.6
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    • pp.849-856
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    • 2011
  • This research introduces three new fractal array configurations that have superior performance over the well-known Sierpinski fractal array. These arrays are based on the fractal shapes Dragon, Twig, and a new shape which will be called Flap fractal. Their superiority comes from the low side lobe level and/or the wide angle between the main lobe and the side lobes, which improves the signal-to-intersymbol interference and signal-to-noise ratio. Their performance is compared to the known array configurations: uniform, random, and Sierpinski fractal arrays.

Method of Making the Distribution of Voxels Uniform within the Volumetric 3D image Space

  • Lin, Yuanfang;Liu, Xu;Xie, Xiaoyan;Liu, Xiangdong;Li, Haifeng
    • 한국정보디스플레이학회:학술대회논문집
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    • 2008.10a
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    • pp.1138-1141
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    • 2008
  • By defining a uniform reference point array corresponding to the 3D voxel array and abandoning voxels whose deviations from their respective reference points exceed a given tolerance, the distribution of voxels within the volumetric 3D image space gets uniform, effects of non-uniform distribution upon the image reconstructing are eased.

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Compuationally Efficient Propagator Method for DoA with Coprime Array (서로소 배열에서 프로퍼게이터 방법 기반의 효율적인 도래각 추정 기법)

  • Byun, Bu-Guen;Yoo, Do-Sik
    • Journal of Advanced Navigation Technology
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    • v.20 no.3
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    • pp.258-264
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    • 2016
  • In this paper, we propose a computationally efficient direction of arrival (DoA) estimation algorithm based on propagator method with non-uniform array. While the co-prime array techniques can improve the resolution of DoA, they generally lead to high computational complexity as the length of the coarray aperture. To reduce the complexity we use the propagator method that does not require singular value decomposition (SVD). Through simulations, we compare MUSIC with uniform lineary array, propagator method with uniform linear array, MUSIC with co-prime array, and the proposed scheme and observe that the performance of the proposed scheme is significantly better than MUSIC or propagator method with uniform linear array while it is slightly worse than computationally much more expensive co-prime array MUSIC scheme.

Signal Number Estimation Algorithm Based on Uniform Circular Array Antenna

  • Heui-Seon, Park;Hongrae, Kim;Suk-seung, Hwang
    • Journal of Positioning, Navigation, and Timing
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    • v.12 no.1
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    • pp.43-49
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    • 2023
  • In modern wireless communication systems including beamformers or location-based services (LBS), which employ multiple antenna elements, estimating the number of signals is essential for accurately determining the quality of the communication service. Representative signal number estimation algorithms including the Akaike information criterion (AIC) and minimum description length (MDL) algorithms, which are information theoretical criterion models, determine the number of signals based on a reference value that minimizes each criterion. In general, increasing the number of elements mounted onto the array antenna enhances the performance of estimating the number of signals; however, it increases the computational complexity of the estimation algorithm. In addition, various configurations of array antennas for the increased number of antenna elements should be considered to efficiently utilize them in a limited location. In this paper, we introduce an efficient signal number estimation algorithm based on the beamspace based AIC and MDL techniques that reduce the computational complexity by reducing the dimension of a uniform circular array antenna. Since this algorithm is based on a uniform circular array antenna, it presents the advantages of a circular array antenna. The performance of the proposed signal number estimation algorithm is evaluated through computer simulation examples.

SFCFOS Uniform and Chebyshev Amplitude Distribution Linear Array Antenna for K-Band Applications

  • Kothapudi, Venkata Kishore;Kumar, Vijay
    • Journal of electromagnetic engineering and science
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    • v.19 no.1
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    • pp.64-70
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    • 2019
  • In this study, a compact series-fed center-fed open-stub (SFCFOS) linear array antenna for K-band applications is presented. The antenna is composed of a single-line 10-element linear array. A symmetrical Chebyshev amplitude distribution (CAD) is used to obtain a low sidelobe characteristic against a uniform amplitude distribution (UAD). The amplitude is controlled by varying the width of the microstrip patch elements, and open-ended stubs are arranged next to the last antenna element to use the energy of the radiating signal more effectively. We insert a series-fed stub between two patches and obtain a low mutual coupling for a 4.28-mm center-to-center spacing ($0.7{\lambda}$ at 21 GHz). A prototype of the antenna is fabricated and tested. The overall size of the uniform linear array is $7.04{\times}1.05{\times}0.0563{\lambda}_g^3$ and that of the Chebyshev linear array is $9.92{\times}1.48{\times}0.0793{\lambda}_g^3$. The UAD array yields a ${\mid}S_{11}{\mid}$ < -10 dB bandwidth of 1.33% (20.912-21.192 GHz) and 1.45% (20.89-21.196 GHz) for the CAD. The uniform array design gives a -23 dB return loss, and the Chebyshev array achieves a -30.68 dB return loss at the center frequency with gains of 15.3 dBi and 17 dBi, respectively. The simulated and measured results are in good agreement.