Deep Learning for DOA Estimation in MIMO Radar Systems via Emulation of Large Antenna Arrays

Ahmed, Aya Mostafa; Thanthrige, Udaya S. K. P. Miriya; Gamal, Aly El; Sezgin, Aydin

doi:10.1109/lcomm.2021.3053114

Cited by 24 publications

(15 citation statements)

References 17 publications

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“…Then perform a spatial calculation of the correlation matrix. A comprehensive analysis described the ability of the spatial calculations process in the sensor antenna configuration system to be empirically implemented into an adaptive circuit system [44,45]. The investigation is carried out by sending 1250 propagation signals at the azimuth of the transmission position.…”

Section: Rectifying Multistage Hybrid Rf Solar Energy Harvesting and Wireless Sensingmentioning

confidence: 99%

CP Antenna with 2 × 4 Hybrid Coupler for Wireless Sensing and Hybrid RF Solar Energy Harvesting

Mujahidin

Kitagawa

2021

Sensors

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The main challenge faced by RF energy harvesting systems is to supply relatively small electrical power to wireless sensor devices using microwaves. The solution is to implement a new device in a circularly polarized rectenna with circular polarization sensitivity integrated with a thin-film solar cell. Its dual-feed antennas are connected to a 2 × 4 asymmetric hybrid coupler and a multi-stage voltage doubler rectifier circuit. This configuration has a 2 × 4 asymmetric hybrid coupler used to produce 4 outputs with a 90-degree waveform phase difference. The two ports can independently be connected to the wireless sensor circuit: radiofrequency harvesting of hybrid energy solar and information equipment can be carried out with these two antennas. The Dual-Feed circular patch antenna has a two-port bandwidth of 137 MHz below −15 dB and an axial ratio of less than 3 dB, with a center frequency of 2.4 GHz with directional radiation and a high gain of 8.23 dB. It can be sensitive to arbitrary polarization of the input voltage multiplier waveform to overcome uncertainty in empirical communication environments. A parallel structure is arranged with a thin film solar cell integration from the transmitter with an output voltage of 1.3297 V with a compact composition and RF energy. The importance of adopting a wireless sensor strategy with circular polarization sensitivity and integrated RF solar energy harvesting rather than a single source method makes this research a significant novelty by optimizing the analysis of multiple wireless sensor signal access.

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Section: Rectifying Multistage Hybrid Rf Solar Energy Harvesting and Wireless Sensingmentioning

confidence: 99%

CP Antenna with 2 × 4 Hybrid Coupler for Wireless Sensing and Hybrid RF Solar Energy Harvesting

Mujahidin

Kitagawa

2021

Sensors

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“…MIMO radar has a lot of advantages, such as in fading mitigation [7], resolution enhancement [8][9][10][11], higher target localisation accuracy [12][13][14] and improved interference and jamming suppression capability [15]. In addition, MIMO radar has excellent performance in multiple target detection [16,17], parameter estimation [18][19][20], parameter identifiability [4] and target tracking [21][22][23] as well.…”

Section: Introductionmentioning

confidence: 99%

Optimisation of practically constrained waveforms for Rician target detection with multiple‐input‐multiple‐output radar

Wang

Tang

Zhang

2022

IET Radar Sonar & Navi

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In this paper, the waveform design for Rician target detection with multiple-inputmultiple-output radar is addressed. The relative entropy between the distributions of the observations under two hypotheses is employed as the design metric. Due to the difficulty of tackling the non-convex waveform design problem, a novel algorithm based on minorisation-maximisation is developed. Since a simple quadratic function is established to minorise the objective function, the presented algorithm has lower computational complexity than its counterparts. Moreover, it can be extended to design waveforms under many practical constraints, including the constant-envelope constraint, the similarity constraint, and the constant-envelope and similarity constraints. Numerical results are provided to show the effectiveness of the proposed algorithm for detecting Rician targets. Moreover, the designed waveforms can be used to enhance the detection performance of a Swerling 0 target in the presence of angle mismatch.

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“…MIMO radar has gained extensive interest owing to the capability of space diversity [6]. Many DOA estimation algorithms [10][11][12][13][14] have been proposed. Due to the production process, external environment factors, there is always inconsistency among the antenna array elements in practice.…”

Section: Introductionmentioning

confidence: 99%

Online Gain-Phase Self-Calibration Method of MIMO Array Based on Statistical Characteristics of Target Angle Distribution

Wang

Quanrui

et al. 2022

Wireless Communications and Mobile Computing

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As a hot research topic, the gain-phase error self-calibration in MIMO radar systems has been investigated for many years. In this paper, we proposed a novel array error self-calibration method, termed online errors self-calibration based on feature learning (OES-FL). This method regards the statistical characteristics of the detected targets’ DOA as a prior knowledge and does not require the calibrated antenna subarray or external reference source to correct the array disturbances in real time. First, we analyse the monostatic MIMO signal model suffering gain-phase error. Then, we exploit the statistical characteristics of DOA of many targets for correcting gain-phase error of antenna array. Next, the gain-phase error estimation scheme based on LMS and the DOA deviation estimation method based on LSTM are proposed, respectively. Using real-life radar data collected at the integrated transportation hubs to generate simulation data, the proposed approach is shown to be effective in correcting gain-phase errors and, therefore, provides a promising model for online error self-calibration in monostatic MIMO radars.

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Deep Learning for DOA Estimation in MIMO Radar Systems via Emulation of Large Antenna Arrays

Cited by 24 publications

References 17 publications

CP Antenna with 2 × 4 Hybrid Coupler for Wireless Sensing and Hybrid RF Solar Energy Harvesting

CP Antenna with 2 × 4 Hybrid Coupler for Wireless Sensing and Hybrid RF Solar Energy Harvesting

Optimisation of practically constrained waveforms for Rician target detection with multiple‐input‐multiple‐output radar

Online Gain-Phase Self-Calibration Method of MIMO Array Based on Statistical Characteristics of Target Angle Distribution

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