A Novel Signal Detection Scheme Based on Adaptive Ensemble Deep Learning Algorithm in SC-FDE Systems

Qiao, Yuanjian; Li, Jun; He, Biao; Li, Wenxin; Xin, Tongliang

doi:10.1109/access.2020.3006265

Cited by 14 publications

(7 citation statements)

References 30 publications

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“…We multiply C t−1 by f t to forget the things we decided to forget earlier. (6) scales each state value according to the regulations, and the output C t is the current cell state output but will be a filtered version. (7) ( 8) decide what we are going to output.…”

Section: B Lstmmentioning

confidence: 99%

“…However, the new requirements of 5G and other communication systems (e.g., massive MIMO, mmWave) enhance its computational complexity. In [6], a novel signal detection scheme based on an adaptive ensemble DL algorithm in SC-FDE systems was proposed, and it adopted LSTMs to detect signals. In that paper, the authors described the designs based on the SC-FDE system combining DL algorithm and adaptive ensemble algorithm.…”

Section: Introductionmentioning

confidence: 99%

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IQ Symbols Processing Schemes With LSTMs in OFDM System

Xin

et al. 2022

IEEE Access

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IQ modulation enjoys great popularity in wireless communication. Its main advantage is the symmetric convenience of combining independent signal components into a single composite signals in the transmitter. And it splits the composite signal into its independent components in the receiver. However, due to the limitations of communication facilities and imperfect channel environments, the symbols will be distorted. In this paper, we propose several signal processing schemes based on deep learning (DL) neural networks (i.e., long short-term memory (LSTM)) to process signal in an end-to-end manner, known as DLA, EDLA and PDNet. These schemes combine with advanced DL architectures and data-driven models for complex-valued signal processing. Enlightened by IQ demodulation ideas, we adopt LSTMs to develop several schemes to implement different functions (i.e., signal detection and peak to average power ratio (PAPR) reduction). The simulation results show that the schemes have significant performance improvement in bit error rate (BER) while reducing the probability of high PAPR.

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Section: B Lstmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

IQ Symbols Processing Schemes With LSTMs in OFDM System

Xin

et al. 2022

IEEE Access

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“…Different human behaviors cause different energy changes in the CSI frequency domain. Fast Fourier transform (FFT) can transform the CSI signal after eliminating the noise from the time domain to the frequency domain [ 26 ]. Then, by analyzing the CSI signal of yoga movements in the frequency domain, an energy threshold can be obtained to judge the occurrence and end of movements.…”

Section: Overview Of Wipgmentioning

confidence: 99%

WiPg: Contactless Action Recognition Using Ambient Wi-Fi Signals

Hao

Niu

Dang

et al. 2022

Sensors

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Motion recognition has a wide range of applications at present. Recently, motion recognition by analyzing the channel state information (CSI) in Wi-Fi packets has been favored by more and more scholars. Because CSI collected in the wireless signal environment of human activity usually carries a large amount of human-related information, the motion-recognition model trained for a specific person usually does not work well in predicting another person’s motion. To deal with the difference, we propose a personnel-independent action-recognition model called WiPg, which is built by convolutional neural network (CNN) and generative adversarial network (GAN). According to CSI data of 14 yoga movements of 10 experimenters with different body types, model training and testing were carried out, and the recognition results, independent of bod type, were obtained. The experimental results show that the average correct rate of WiPg can reach 92.7% for recognition of the 14 yoga poses, and WiPg realizes “cross-personnel” movement recognition with excellent recognition performance.

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“…To successfully apply low-complexity and precise frequency-domain channel equalization, an SC-FDE system typically utilizes a data structure consisting of data chunks, each preceded by a cyclic prefix. When compared to OFDM, SC-FDE excels because of its lower peak-to-average power ratio (PAPR) and less susceptibility to carrier-frequency offset [14].…”

Section: Introductionmentioning

confidence: 99%

Estimation of IQI for AF Cooperative Single-Carrier Frequency Domain Equalization Systems Using Channel Decoder Feedback

Marey

Mostafa

2023

Electronics

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The process of amplify-and-forward (AF) relaying is essential to the improvement of both current and future wireless communication standards. Nevertheless, significant performance loss may be posed by in-phase and quadrature imbalance (IQI) caused by defects in radio frequency components. Prior studies into this research problem were restricted to uncoded broadcasts, even though error-correcting codes are frequently used in real applications. To this purpose, we develop a novel approach applicable to the destination terminal for estimating and compensating for IQI that occurs at the source, relay, and destination terminals. The proposed approach is explored in the context of coded emissions of AF single-carrier frequency domain equalization (SC-FDE) systems. In contrast to other methods for mitigating this radio frequency deflection at each node, the proposed system estimates and compensates for all IQI parameters and channel impulse responses simultaneously. With the use of an iterative expectation–maximization (EM) process, a maximum-likelihood (ML) solution to the problem is computed. At each round, the soft information supplied by the channel decoder is employed to create the a posteriori expectations of the sent data symbols, which are then fed into the estimation process as if they were training symbols. In addition, we address how to use the estimated parameters to perform the task of data detection. The offered predictor and detector exchange soft information in a sequential process, boosting the overall system effectiveness. The simulation results show that the proposed method is not only practicable but superior to the established methods.

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A Novel Signal Detection Scheme Based on Adaptive Ensemble Deep Learning Algorithm in SC-FDE Systems

Cited by 14 publications

References 30 publications

IQ Symbols Processing Schemes With LSTMs in OFDM System

IQ Symbols Processing Schemes With LSTMs in OFDM System

WiPg: Contactless Action Recognition Using Ambient Wi-Fi Signals

Estimation of IQI for AF Cooperative Single-Carrier Frequency Domain Equalization Systems Using Channel Decoder Feedback

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