Digital automatic gain control design with large dynamic range in wireless communication receivers

Zhang, Naikang; Wen, Zhenchao; Hou, Xunping; Wen, Wei

doi:10.1109/icct.2017.8359863

Cited by 14 publications

(4 citation statements)

References 1 publication

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“…However, for real-world applications, there exists amplitude imbalance between multiple channels because the component cannot perform ideally. To address this, the automatic gain control (AGC) module can be added after the antenna array to keep the input signal power at a stable value [18] , and eventually the DL algorithm can learn these inherent errors based on a data-driven mechanism. On the other hand, although DL has shown great results in improving the performance of microwave photonic systems, it requires a large amount of experimental data, which is extremely time-and resource-consuming.…”

Section: Resultsmentioning

confidence: 99%

Adaptive microwave photonic angle-of-arrival estimation based on BiGRU-CNN [Invited]

æ�Ž,

è”¡,

æ�¨

et al. 2023

中国光学快报

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An adaptive microwave photonic angle-of-arrival (AOA) estimation approach based on a convolutional neural network with a bidirectional gated recurrent unit (BiGRU-CNN) is proposed and demonstrated. Compared with the previously reported AOA estimation methods based on phase-to-power mapping, the proposed method is unnecessary to know the frequency of the signal under test (SUT) in advance. The envelope voltage correlation matrix is obtained from dual-drive Mach-Zehnder modulator (N-DDMZM, N > 2) optical interferometer arrays first, and then AOA estimations are performed on different frequency signals with the aid of BiGRU-CNN. A three-DDMZM-based experiment is carried out to assess the estimation performance of microwave signals at three different frequencies, and the mean absolute error is only 0.1545°.

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Section: Resultsmentioning

confidence: 99%

Adaptive microwave photonic angle-of-arrival estimation based on BiGRU-CNN [Invited]

æ�Ž,

è”¡,

æ�¨

et al. 2023

中国光学快报

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“…The proposed 3-dB frequency response improvement method is to ensure that capacitance effect in an amplifier such as in transimpedance feedback amplifier is reduced. The device effect and stray capacitance are minimized in accordance with the open loop gain [3]- [6], [22]:…”

Section: Bandwidth Enhancement Techniquementioning

confidence: 99%

Adaptive Composite Bandwidth and Automatic Gain Control Receiver for 6G Wireless Optical Communication

Das,

Agbinya,

Abdullah

et al. 2024

Preprint

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The advent of 6G communication promises a transformative leap in wireless connectivity, ushering in an era of unprecedented data rates, ultra-low latency, and pervasive connectivity. To harness the full potential of 6G networks, it is imperative to address the unique challenges posed by evolving communication environments. In this context, we present a novel framework that integrates Adaptive Composite Bandwidth and Automatic Gain Control (AGC) techniques into the 6G communication paradigm. Optical wireless receivers experience large input current difference due to the large transmitted power, noise from ambient light and the varying efficiencies of different photodiode receivers. With its large dynamic range of µA to mA, transimpedance amplifiers are suitable to handle large variable photodiode efficiencies. The receiver design proposed in this article incorporates two characteristic parameter adjustments, namely bandwidth and automatic gain. By adjusting the bandwidth the signal-to-noise ratio of the incoming signal is automatically controlled. By controlling the bandwidth, the unwanted noise is reduced and amplifier output is liable to low noise and enhances the dynamic range without extra filtering. The automatic gain control adapts its gain based on slight change in the input signal at the receiver front-end. This optimization technique ensures low photo-detection and amplification noise to achieve better quality of service. The results indicate that bootstrap transimpedance amplifier gain is around 53.3 dB and frequency cut-off at 109.7 MHz. Thus, when gain control capacitance is varied between 50 pF to 1 nF, the bandwidth adjustment falls in the range 7.5-104.1 MHz, and the amplifier’s second stage gain becomes 10.4 dB. The overall gain of the proposed configuration with automatic gain control integrated into the transimpedance amplifier increases up to 31.1 dB, while the bandwidth adjusted from 9.4 MHz to 60.7 MHz. In results, gain bandwidth product is optimized from 10.4 dB to 31.1 dB. The main contribution to work is optimizing the product by selecting a capacitance value within the given range that maximizes the GBP. This value will provide the least gain-bandwidth product for effective noise reduction.

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“…Signal Automatic Gain Control (AGC) (Zhang et al, 2017). In practice, automatic gain control is typically implemented through circuit design.…”

Section: Preliminarymentioning

confidence: 99%

A Wasserstein generative adversarial network with gradient penalty for active sonar signal reverberation suppression

Wang,

Zhang,

Huang

et al. 2023

Front. Mar. Sci.

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Reverberation is the primary background interference of active sonar systems in shallow water environments, affecting target position detection accuracy. Reverberation suppression is a signal processing technique used to improve the clarity and accuracy of received signals by eliminating the echoes, reverberations, and noise that occur during underwater propagation. Existing reverberation suppression methods include algorithms based on Time-Frequency domain processing, noise reduction, adaptive filtering, and spectral subtraction, but their performance in high-reverberation environments (echo of small targets) still does not meet the requirements of target detection. To address the impact of high reverberation environments, we propose a structural suppression method based on the Wasserstein gradient penalty generative adversarial network (RSWGAN-GP). The reverberation suppression generation network uses a one-dimensional convolutional network structure to process normalized time-domain signals and achieves the reconstruction of the reverberation signal through Encoder-Decoder. The proposed method is verified through accurate and effective data collection during sea trials. Comparative results show that RSWGAN-GP effectively suppresses reverberation in observation signals with multiple bright spots, improving the signal-to-reverberation ratio by approximately 10 dB compared to other excellent algorithms and enhancing the information analysis and feature extraction capabilities of active sonar signals.

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Digital automatic gain control design with large dynamic range in wireless communication receivers

Cited by 14 publications

References 1 publication

Adaptive microwave photonic angle-of-arrival estimation based on BiGRU-CNN [Invited]

Adaptive microwave photonic angle-of-arrival estimation based on BiGRU-CNN [Invited]

Adaptive Composite Bandwidth and Automatic Gain Control Receiver for 6G Wireless Optical Communication

A Wasserstein generative adversarial network with gradient penalty for active sonar signal reverberation suppression

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