MIMO Transmission Using a Single RF Source: Theory and Antenna Design

Alrabadi, Osama N.; Perruisseau‐Carrier, Julien; Kalis, Antonis

doi:10.1109/tap.2011.2173429

Cited by 79 publications

(65 citation statements)

References 22 publications

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“…It would be specially mentioned that if = 1 is chosen, then the signal model (4) simplifies to the signal model for the conventional phased-array radar. On the other hand if = is chosen, the signal model (4) simplifies to the signal model for the MIMO radar.…”

Section: Phased-mimomentioning

confidence: 99%

See 1 more Smart Citation

Joint Phased-MIMO and Nested-Array Beamforming for Increased Degrees-of-Freedom

Zhu

Chen

Shao

2015

International Journal of Antennas and Propagation

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Phased-multiple-input multiple-output (phased-MIMO) enjoys the advantages of MIMO virtual array and phased-array directional gain, but it gets the directional gain at a cost of reduced degrees-of-freedom (DOFs). To compensate the DOF loss, this paper proposes a joint phased-array and nested-array beamforming based on the difference coarray processing and spatial smoothing. The essence is to use a nested-array in the receiver and then fully exploit the second order statistic of the received data. In doing so, the array system offers more DOFs which means more sources can be resolved. The direction-of-arrival (DOA) estimation performance of the proposed method is evaluated by examining the root-mean-square error. Simulation results show the proposed method has significant superiorities to the existing phased-MIMO.

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Section: Phased-mimomentioning

confidence: 99%

“…In recent years, multiple-input multiple-output (MIMO) has received much attention [1][2][3][4]. Many of MIMO superiorities are fundamentally due to the fact that it can utilize the waveform diversity to yield a virtual aperture that is larger than the physical array of its phased-array counterpart [5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Joint Phased-MIMO and Nested-Array Beamforming for Increased Degrees-of-Freedom

Zhu

Chen

Shao

2015

International Journal of Antennas and Propagation

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“…방식과 MMSE 방식을 사용하였다 [13] . 낮은 SNR구간 에서 BS-MIMO 시스템의 수신 BER 성능이 기존 MIMO 시스템에 비해서 약간 열화 되는 것을 확인 할 수 있다.…”

Section: Bs-mimo 시스템의 수신 신호를 기저대역 신호로서unclassified

Design and Performance Evaluation of M×M MIMO Transmission in ESPAR Antenna

Bok¹,

Lee²,

Ryu³

2013

The Journal of Korean Institute of Communications and Informati

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“…An envelope correlation coefficient (ECC) is a critical parameter in evaluating the signal correlation of a multiple-input multiple-output (MIMO) antenna [1][2][3]. According to a standard definition, the ECC value should be calculated using the complicated amplitude, phase, and polarization information obtained from the 3D radiation patterns of a MIMO antenna [4].…”

Section: Introductionmentioning

confidence: 99%

Worst-Case Estimate of Envelope Correlation Coefficient for Small MIMO Mobile Antennas Below 1 GHz

Zhao¹,

Tak²,

Choi³

2015

Journal of electromagnetic engineering and science

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A worst-case estimate of an envelope correlation coefficient (ECC) is obtained for small multiple-input multiple-output (MIMO) mobile antennas operating below 1 GHz. The worst-case estimate is numerically derived in this paper using spherical and exponential wave functions. The derived result confirms that the worst-case ECC can be easily obtained from the rotation angle between the radiation patterns of two MIMO elements, which are attained directly from the amplitude of 2D electric field patterns without any additional phase and polarization information. As a practical example, MIMO mobile antennas with different antenna element arrangements are compared to verify the validity of the proposed worst-case estimate. Moreover, based on these analyses, we also suggest an effective approach to reduce the ECC of a small MIMO mobile antenna operating below 1 GHz by properly locating the antenna elements to make the radiation patterns perpendicular to each other. This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/ by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. ⓒ Copyright The Korean Institute of Electromagnetic Engineering and Science. All Rights Reserved. ZHAO et al.: WORST-CASE ESTIMATE OF ENVELOPE CORRELATION COEFFICIENT FOR SMALL MIMO MOBILE ANTENNAS BELOW 1 GHz 45worst-case estimate of the ECC through a direct derivation using the spherical and exponential wave functions. Then, the correctness of this worst-case estimate is verified by comparing MIMO mobile antennas that operate at 0.8 GHz and under different arrangements of the antenna elements. Moreover, by investigating the different factors (rotation angle, translation of phase centers, and occasional pattern variance) related to the ECC, we prove the rotation angle, which is chosen to estimate the worst-case ECC, is also an effective applicable factor to reduce the ECC for a MIMO mobile antenna below 1 GHz. A low ECC can be attained when the rotation angle of a MIMO mobile antenna approaches 90° by locating two antenna elements on the perpendicular edges of the ground plane. II. WORST-CASE ESTIMATE OF ECCIn this paper, we assume the antennas are operating in an isotopic/uniform multi-path condition (XPR = 1 and P θ = P φ = 1/4π) [13,14].Based on the above assumption, the ECC ( e  ) is inversely proportional to the diversity of the radiation patterns and can be expressed in the spherical coordinate Ω = ( θ , ϕ ) using thewhere, and E θ n and E ϕ n are the θ -and ϕ -polarized complex electric field intensities of the antenna element n. Meanwhile, we note the diversity and corresponding ECC are mainly determined by three factors (rotation angle, translation of phase centers, and occasional pattern variance) in MI-MO antennas. Thus, our investigation of the worst-case ECC will start by exploring and comparing these three factors.In addition, we analyz...

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MIMO Transmission Using a Single RF Source: Theory and Antenna Design

Cited by 79 publications

References 22 publications

Joint Phased-MIMO and Nested-Array Beamforming for Increased Degrees-of-Freedom

Joint Phased-MIMO and Nested-Array Beamforming for Increased Degrees-of-Freedom

Design and Performance Evaluation of M×M MIMO Transmission in ESPAR Antenna

Worst-Case Estimate of Envelope Correlation Coefficient for Small MIMO Mobile Antennas Below 1 GHz

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