Design and simulation of an analog beamforming phased array antenna

Elhefnawy, Mohamed

doi:10.11591/ijece.v10i2.pp1398-1405

Cited by 7 publications

(8 citation statements)

References 22 publications

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“…max,PAR < max,PMIMO < max,MIMO. For example, for Tx-Rx with K = L is 8, get max,PAR, max,MIMO, max,PMIMO-Tx, and max,PMIMO-Tx-Rx, that is, 4, (7, 32), (5,16) and (3,8), respectively. Looking at Figure 3, the MIMO and the PMIMO radars are within the detectability limits of more than four radars, so they can properly detect four targets.…”

Section: Relationship Between Var and Maximum Amount Of Discoverable ...mentioning

confidence: 99%

“…The phased array (PAR) and multiple-input multiple-output (MIMO) radars are two common types of multi-antenna radar systems. This array on the radar system is arranged in order to get a highdirectivity mainlobe [4], [5]. The PAR radar is that all antenna elements are fed by adjusting the phase difference to provide higher directional gain in certain directions only [6], [7], so that the number of detected targets is limited by the small resolution of the resulting angle.…”

Section: Introductionmentioning

confidence: 99%

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Subarrays of phased-array antennas for multiple-input multiple-output radar applications

Tahcfulloh

Hardiwansyah²

2022

IJ-ICT

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The subarray MIMO radar (SMIMO) is a multiple-input multiple-output (MIMO) radar with elements in the form of a sub-array that acts as a phased array (PAR), so it combines at the same time the key advantage of the PAR radar, which is high directional gain to increase target range, and the key advantage of the MIMO radar, i.e., high diversity gains to increase the maximum number of detected targets. Different schemes for the number of antenna elements in the transceiver zones, such as uniform and/or variable, overlapped and non-overlapped, significantly determine the performance of radars as virtual arrays (VARs), maximum number of detected targets, accuracy of target angle, detection resolution, SNR detection, and detection probability. Performance is also compared with the PAR, the MIMO, and the phased MIMO radars (PMIMO). The SMIMO radar offers great versatility for radar applications, being able to adapt to different shapes of the multiple targets to be detected and their environment. For example, for a transmit-receive with an antenna element number, i.e., M = N = 8, the range of the number of detected targets for the SMIMO radar is flexible compared to the other radars. On the other hand, the proposed radar's signal-to-noise ratio (SNR) detection performance and detection probability (K = 5, L = 3) are both 1,999 and above 90%, which are better than other radars.

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Section: Relationship Between Var and Maximum Amount Of Discoverable ...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Subarrays of phased-array antennas for multiple-input multiple-output radar applications

Tahcfulloh

Hardiwansyah²

2022

IJ-ICT

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“…The OBFN system uses Optical Ring Resonator (ORR) as a delay element to control the phase of each signal [12], [13]. This beamforming is categorized as analog beamforming [14]- [16]. However, there is a disadvantage of using ORR as a delay element.…”

Section: Introductionmentioning

confidence: 99%

Tuning of Extended-Resonance-Based Beamforming System for Visible Light Communication

Nugroho¹,

Barrinaya²

2022

International Journal on Advanced Science, Engineering and Information Technology

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Visible Light Communication (VLC) uses the visible light emitted from Light Emitting Diode (LED) to transmit/receive data. Since the data is transmitted through the light, the connection speed is as fast as the speed of light, making it potential for very fast and massive data exchange. One thing that needs to be considered in VLC is that the power of the signal received by the sensor relies on the angle between the LED and the light sensor used as an antenna. The bigger the angle between LED and light sensor, the less optimal the signal power will be, and surely will affect the speed and reliability of the data transmission. To optimize the signal power, multiple photonic sensors will be used as an antenna to receive the light signal. The signal received from each photonic sensor will be combined to get higher signal power. However, to ensure that all signals from all photonic sensors are constructive to each other, all phase differences must be minimized. This paper proposes the extended-resonance-based beamforming system to be used to minimize the phase difference of the light signals in VLC application. A non-linear optimization method is used to tune the extendedresonance-based beamforming system. Given that the varactor is chosen carefully and sufficient enough, the non-linear optimization method such as active set, interior point, or sequential quadratic programming is able to tune the varactor, so that the beamformer will compensate the phase difference from the incoming signal.

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“…Analysis of the technical characteristics of modern antennas and the experience of their use in different radio systems show that the active electronically scanned array (AESA) meets the requirements to the antenna systems of multifunctional radio equipment [1][2][3][4][5][6]. The use of AESA in mobile and space radio complexes can significantly increase the range of radio communication, quality, efficiency and volumes of transmitted information.…”

Section: Introductionmentioning

confidence: 99%

“…Takashi Iida, Warren L. Stutzman, Gary A. Thiele, Constantine A. Balanis, Enson Change, Rick Sturdivant, Mike Harris and others have devoted themselves to the study of AESA, but they have not TELKOMNIKA Telecommun Comput El Control  Assessment of quality indicators of the automatic control system… (Igor Parkhomey) 2071 consider improving the efficiency of broadcasting information in mobile radio systems at the expense of the antenna system of the translator [5][6][7][8][9][10][11]. The task of determining the values of the parameters of system of automatic control (SAC) directional pattern (DP) AESA is reduced to the estimation of the mean-square error (MSE) and quadratic integral estimates (QIE) of the automatic control system with differential feedback.…”

Section: Introductionmentioning

confidence: 99%

Assessment of quality indicators of the automatic control system influence of accident interference

et al. 2020

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This work concentrates the analysis of the system of automatic control of the directive diagram of the moving active electronically scanned array with a limited number of transceiver modules. The analysis revealed a number of shortcomings that lead to a significant increase in standard deviations, quadratic integral estimates, and an increase in transient time. The identified disadvantages lead to a decrease in the efficiency of the antenna system, an increase in the error rate at the reception, the inability of the system to react to disturbances applied to any point of the system in the event of a mismatch of a given signal/noise level. In accordance with the analysis, the mathematical model of the automatic control system of the directional diagram of the moving active electronically scanned array was considered, considering this a new method of estimating the quality indicators of the automatic control diagram of the directional diagram of the active electronically scanned array in a random setting and disturbing action was developed. The difference between the proposed method and the existing method is in the construction of an automatic control system with differential coupling equivalent to the combination due to the introduction of derivatives of the random setting action of the open compensation connection.

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Design and simulation of an analog beamforming phased array antenna

Cited by 7 publications

References 22 publications

Subarrays of phased-array antennas for multiple-input multiple-output radar applications

Subarrays of phased-array antennas for multiple-input multiple-output radar applications

Tuning of Extended-Resonance-Based Beamforming System for Visible Light Communication

Assessment of quality indicators of the automatic control system influence of accident interference

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