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blind detection of circular image rotation angle based on ensemble transfer regression and fused HOG

FRONTIERS IN NEUROROBOTICS 2022年 16卷 1037381页

作者： Dong, Wenxin Zhang, Jianxun Zhou, Yuechuan Gao, Linfeng Zhang, Xinyue Chongqing Univ Technol Coll Comp Sci & Engn Chongqing Peoples R China Northeastern Univ Qinhuangdao Sydney Smart Technol Coll Qinhuangdao Hebei Peoples R China

Introduction Aiming at the problems of low accuracy in estimating the rotation angle after the rotation of circular image data within a wide range (0 degrees -360 degrees) and difficulty in blind detection without a reference image, a method based on ensemble transfer regression network, fused HOG, and Rotate Loss is adopted to solve such problems. Methods The proposed Rotate Loss was combined to solve the angle prediction error, especially the huge error when near 0 degrees. Fused HOG was mainly used to extract directional features. Then, the feature learning was conducted by the ensemble transfer regression model combined with the feature extractor and the ensemble regressors to estimate an exact rotation angle. Based on miniImageNet and Minist, we made the circular random rotation dataset Circular-ImageNet and random rotation dataset Rot-Minist, respectively. Results Experiments showed that for the proposed evaluation index MSE_Rotate, the best single regressor could be as low as 28.79 on the training set of Circular-ImageNet and 2686.09 on the validation set. For MSE_Rotate, MSE, MAE, and RMSE on the test set were 1,702.4325, 0.0263, 0.0881, and 0.1621, respectively. And under the ensemble transfer regression network, it could continue to decrease by 15%. The mean error rate on Rot-Minist could be just 0.59%, significantly working easier in a wide range than other networks in recent years. Based on the ensemble transfer regression model, we also completed the application of image righting blindly.

关键词： image rotation blind detection ensemble transfer regression HOG loss function

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Fast MIMO blind detection via Modified MMA Approach Over the Stiefel Manifold

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IEEE WIRELESS COMMUNICATIONS LETTERS 2024年第5期13卷 1483-1487页

作者： Chen, Yantao Dong, Binhong Gao, Pengyu Xiong, Wenhui Univ Elect Sci & Technol China Natl Key Lab Sci & Technol Commun Chengdu 611731 Peoples R China Univ Surrey 5G Innovat Ctr Guildford GU2 7XH Surrey England

MIMO blind detection has recently attracted much attention due to its potential for the huge training overhead reduction. However, the unsatisfactory performance and slow running speed limit its practical applications. Motivated by this, this letter proposes a manifold optimization aid modified multi-modulus algorithm (MO-M(3)A) to address this problem. Specifically, by analyzing the interference of the multi-modulus algorithm (MMA) loss function, a novel weighted multi-modulus loss function is proposed to mitigate the original MMA loss interference for better signal recovery. Moreover, restricting the solution to the Stiefel manifold simplifies the problem, and the iteration is significantly faster by using the Riemannian gradient method. Extensive simulation results demonstrate that the proposed MO-M(3)A affords a more satisfactory bit error rate (BER) and a lower processing burden compared with those of the conventional methods.

关键词： MIMO systems blind detection MMA manifold optimization

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blind detection and Identification of Polar Codes Based on the Parity Check Conformity

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IEEE COMMUNICATIONS LETTERS 2022年第4期26卷 728-732页

作者： Liu, Qian Zhang, Hao Yu, Peidong Informat Engn Univ Sch Informat Systemat Engn Zhengzhou 450001 Henan Peoples R China

Polar code is an emerging error-correcting code. The blind detection and identification of polar codes are less studied. This letter proposes an algorithm to determine whether a bitstream is encoded with polar codes. Also, the proposed algorithm identifies the frame synchronization, code block length, rate, and the frozen-bit locations of the polar code by calculating the proposed parity check conformity of the soft-output sequence. Our method has lower computational complexity than the general methods because it does not need a decoding process. Simulation results also indicate that our algorithm performs well under low SNR.

关键词： Polar codes Codes Parity check codes Decoding Synchronization Receivers Probability blind detection channel coding identification parity check conformity polar code

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Significance-Test Based blind detection for 5G

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IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 2022年第7期71卷 7957-7962页

作者： Sun, He Viterbo, Emanuele Liu, Rongke Monash Univ Det Elect & Comp Syst Engn ECSE Clayton Vic 3800 Australia Beihang Univ Sch Elect & Informat Engn Beijing 100191 Peoples R China Natl Univ Singapore Dept Elect Comp Engn Singapore 119077 Singapore Beihang Univ Shenzhen Inst Beijing 100191 Peoples R China

The internet of vehicles needs mobile communication systems for efficient communications. On the physical downlink control channel (PDCCH) of 5G, blind detection is performed to identify the downlink control information (DCI). Due to the uncertainty of DCI formats and PDCCH formats, the existing two-stage blind detection schemes separately decode every PDCCH code block under different DCI formats, leading to a high decoding complexity in the first stage. To reduce the detection complexity, this paper proposes an efficient DCI detection method, where a significance-test strategy is designed to detect the DCI formats. The significance-test strategy can forecast the DCI lengths without separately decoding the whole codeword, thus reducing the decoding complexity by several times. Moreover, the accuracy of the DCI detection is analyzed, with which the test scope of the test statistic is optimized for minimizing the decoding complexity on condition of meeting the detection accuracy requirements. Simulation results show that the proposed method significantly reduces the decoding complexity relatively to the existing two-stage detection schemes.

关键词： Decoding Codes Complexity theory Polar codes 5G mobile communication Downlink Detectors blind detection significance test 5G

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Low complexity blind detection in OFDM systems with phase noise

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DIGITAL SIGNAL PROCESSING 2022年第0期129卷

作者： Hu, Shicheng Kang, Kai Wang, Haifeng Qian, Hua Chinese Acad Sci Shanghai Adv Res Inst Shanghai 201210 Peoples R China ShanghaiTech Univ Sch Informat Sci & Technol Shanghai 201210 Peoples R China Univ Chinese Acad Sci Beijing 100490 Peoples R China Chinese Acad Sci Shanghai Inst Microsyst & Informat Technol Key Lab Wireless Sensor Network & Commun Shanghai 200050 Peoples R China

Phase noise is one of the major impairments that degrade the performance of orthogonal frequency division multiplexing (OFDM) systems. When an OFDM system works at high-order modulation or high carrier frequency, phase noise's impairments cannot be ignored. Existing phase noise estimation algorithms either require a large number of pilots or have high computation complexity. In this paper, we propose a low complexity blind data detector based on the maximum a posteriori (MAP) criterion. With prior knowledge of slow time-varying property of phase noise, a simplified iterative phase noise estimation and data detection algorithm is developed. Compared to existing algorithms, the proposed algorithm does not require pilot data transmission, and achieves satisfactory performance with low computation complexity. Simulation results validate the effectiveness of proposed algorithm. (c) 2022 Published by Elsevier Inc.

关键词： Phase noise Time varying Orthogonal frequency division multiplexing (OFDM) Maximum a posteriori blind detection

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blind detection Design for AF Two-Way Relaying Over Frequency Selective Channels

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INTERNATIONAL JOURNAL OF WIRELESS INFORMATION NETWORKS 2021年第4期28卷 403-411页

作者： Ding, Yanwu Li, Lun Wichita State Univ Dept Elect Engn & Comp Sci 1845 Fairmount Wichita KS 67260 USA

This paper considers an amplify-and-forward two-way relay system with frequency selective fading channels. The knowledge of channel state information is assumed not available for all nodes. An efficient transmission and signaling scheme is proposed to identify the transmitted symbols and multi-tap channel coefficients using the M-ary phase shift keying transmitted symbols. A blind receiver is derived using the least square error criterion. Simulation results demonstrate that the proposed transmission and signaling scheme outperforms an existing conventional training scheme where pilots are applied to estimate the channel coefficients.

关键词： Two-way relay Unique identification blind detection Frequency selective fading Least square error

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Clustering-Based blind detection Aided by SC-LDGM Codes

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IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 2021年第12期70卷 12771-12781页

作者： Li, Xing Wang, Qianfan Sun, Jiachen Yang, Hongqi Ma, Xiao Sun Yat Sen Univ Sch Comp Sci & Engn Guangzhou 510006 Peoples R China Sun Yat Sen Univ Sch Elect & Commun Engn Guangzhou 510006 Peoples R China Sun Yat Sen Univ Sch Elect & Informat Technol Guangzhou 510006 Peoples R China

In this paper, we propose clustering-based blind detection methods with the aid of systematic convolutional low density generator matrix (SC-LDGM) codes. Inspired by the fact that the received signals naturally fall into clusters in the block-fading channels, we develop a system constrained Gaussian mixture model (SCGMM) by taking into account the inherent characteristics of communication systems, in which the parameters can be estimated by the expectation-maximization (EM) algorithm. We also present an initialization method for the proposed SCGMM to accelerate convergence. After clustering, a decoding algorithm of SC-LDGM codes is designed to resolve the centroid ambiguity. To further improve the detection performance in the low signal-to-noise (SNR) and deep fading scenarios, we propose an improved label-assisted (ILA) method, which integrates the label-assisted (LA) information into the blind detection algorithm. Numerical results show that the performance of our methods can closely approach the performance with perfect channel state information (CSI). The simulation results also show that the performance can be improved by increasing the encoding memory.

关键词： Codes Clustering algorithms Signal to noise ratio Training Fading channels Gaussian mixture model Transceivers blind detection improved label-assisted (ILA) initialization system constrained Gaussian mixture model (SCGMM) systematic convolutional low density generator matrix (SC-LDGM) codes

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Symmetry-Aided Clustering blind detection in Spatial Modulation Systems

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IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 2021年第4期70卷 3354-3370页

作者： Zhang, Lijuan He, Yachen Jin, Minglu Dalian Univ Technol Sch Informat & Commun Engn Dalian 116024 Peoples R China Beijing Sogou Technol Dev Co Ltd Div AI Interact Beijing 100089 Peoples R China

This paper considers the blind detection of spatial modulation multiple-input multiple-output (SM-MIMO) systems based on clustering algorithms. Firstly, we propose a novel framework (framework 1) that can guarantee the excellent detection performance of clustering detectors to implement the signal detection even if in the case of short block length by considering the rotational symmetry of digital modulation constellations. Then, we propose a novel rule by defining the concept of pseudo rotational symmetry of cluster centroids, which can check the quality of the cluster centroids of clustering algorithms. Besides, based on the proposed rule, we investigate two scenarios and propose framework 2 and framework 3 for the problems in the scenarios. Specifically, the framework 2 can early terminate the clustering algorithms that are performed multiple times different initializations to avoid poor detection performance, and it significantly reduces computational complexity while maintaining excellent performance. The framework 3 can adjust the data length of clustering algorithms according to different environmental conditions that can improve the detection efficiency while improving performance. Moreover, the proposed framework 1 can be combined with proposed framework 2 or framework 3, which further enhances the detection performance. In addition, we conduct the performance analysis for the SM-MIMO systems when the perfect channel state information (CSI) is unavailable. Simulation results demonstrate the clustering detectors combined with proposed frameworks behave better than the clustering detectors without the proposed frameworks in terms of performance or complexity.

关键词： blind detection clustering algorithms pseudo rotational symmetry rotational symmetry SM-MIMO

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A novel comprehensive method for weak signal blind detection based on adaptive quasi-periodic potential stochastic resonance and its application in bearing fault detection

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PHYSICA SCRIPTA 2024年第8期99卷 085242-085242页

作者： He, Lifang Jiang, Zhiyuan Gao, Yanxin Chongqing Univ Posts & Telecommun Sch Commun & Informat Engn CQUPT Chongqing 400065 Peoples R China Chongqing Univ Posts & Telecommun Sch Optoelect Engn CQUPT Chongqing Peoples R China

In order to solve the common output saturation of stochastic resonance systems and the limitation of classical index SNR for blind detection, a novel adaptive quasi-periodic potential stochastic resonance blind detection method is proposed. First, a model of quasi-periodic potential stochastic resonance (QPPSR) possessing infinite steady state is constructed and analyzed for its structure change pattern. The superior performance of the model is verified by using the fourth-order Runge-Kutta algorithm. Secondly, the mechanism of QPPSR is analyzed using the probability flow method, which reveals the relationship between system parameters and performance. Again, a novel comprehensive blind detection index (CBDI) is exquisitely constructed to make up for the shortcomings of each indicator. Finally, CBDI and QPPSR are constructed into an adaptive blind detection system and applied to bearing fault detection. The results analyzed by experiments verify the good engineering application prospect of CBDI-QPPSR.

关键词： stochastic resonance blind detection quasi-periodic potential system comprehensive blind detection index adaptive genetic algorithm bearing fault diagnosis

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blind detection Algorithm Based on Spectrum Sharing and Coexistence for Machine-to-Machine Communication

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IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES 2020年第1期E103A卷 297-302页

作者： Zhang, Yun Li, Bingrui Yu, Shujuan Zhao, Meisheng Nanjing Univ Posts & Telecommun Sch Elect Sci & Engn Nanjing 210003 Peoples R China

In this paper, we propose a new scheme which uses blind detection algorithm for recovering the conventional user signal in a system which the sporadic machine-to-machine (M2M) communication share the same spectrum with the conventional user. Compressive sensing techniques are used to estimate the M2M devices signals. Based on the Hopfield neural network (HNN), the blind detection algorithm is used to recover the conventional user signal. The simulation results show that the conventional user signal can be effectively restored under an unknown channel. Compared with the existing methods, such as using the training sequence to estimate the channel in advance, the blind detection algorithm used in this paper with no need for identifying the channel, and can directly detect the transmitted signal blindly.

关键词： machine-to-machine communication 5G spectrum sharing Hopfield neural network blind detection

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