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Hybrid signal fusion for target detection in distributed PA-MIMO radar systems on moving platforms

IEEE Transactions on Aerospace and Electronic Systems 2025年

作者： Zhou, Dingsen Yang, Minglei Lian, Hao Greco, Maria Sabrina Gini, Fulvio Xidian University National Key Laboratory of Radar Signal Processing Shaanxi Xi'an710071 China Science and Technology on Underwater Test and Control Laboratory Dalian116013 China University of Pisa Department of Information Engineering Pisa56122 Italy

Distributed phased multiple-input multiple-output (PA-MIMO) radar systems on moving platforms combine the spatial diversity of MIMO radars with the coherent gain of phased-array radars, making them ideal for dynamic environments. However, challenges such as motion-induced channel variability, Doppler shifts, and complex parameter estimation often hinder target detection. Traditional methods like non-coherent fusion (NCF) and coherent fusion (CF) struggle to adapt to such variability, leading to suboptimal performance. In this paper, we propose a hybrid signal fusion (HSF) scheme that integrates joint space-time-phase compensation (JSTPC) with a compressed fusion network. The JSTPC module mitigates motion-induced phase errors and ensures precise alignment of received signals, while the compressed fusion network combines CF and NCF stages, leveraging their respective strengths to adaptively manage channel correlation variability. We also develop a joint parameter estimation algorithm to accurately extract direction of departure, direction of arrival, and Doppler frequency, thereby ensuring precise signal reconstruction and enhancing the detection process by estimating key parameters in real time. Theoretical analyses of detection thresholds and probabilities, derived using moment-matching techniques, further validate the reliability of the proposed scheme. Monte Carlo simulations and theoretical analyses for diverse radar configurations and channel correlation scenarios show that the proposed HSF scheme achieves 2 dB detection gain improvement over NCF. © 2025 IEEE.

关键词： Frequency estimation

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Representation and De-interleaving of Mixtures of Hidden Markov Processes

arXiv

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arXiv 2024年

作者： Bao, Jiadi Zhu, Mengtao Li, Yunjie Wang, Shafei The School of Information and Elec tronics Beijing Institute of Technology Beijing100081 China The School of Cyberspace Science and Technology Beijing Institute of Technology Beijing100081 China The School of Information and Electronics Beijin Institute of Technology Beijing100081 China The Laborator of Electromagnetic Space Cognition and Intelligent Control Beijing100191 China

De-interleaving of the mixtures of Hidden Markov Processes (HMPs) generally depends on its representation model. Existing representation models consider Markov chain mixtures rather than hidden Markov, resulting in the lack of robustness to non-ideal situations such as observation noise or missing observations. Besides, de-interleaving methods utilize a search-based strategy, which is time-consuming. To address these issues, this paper proposes a novel representation model and corresponding de-interleaving methods for the mixtures of HMPs. At first, a generative model for representing the mixtures of HMPs is designed. Subsequently, the de-interleaving process is formulated as a posterior inference for the generative model. Secondly, an exact inference method is developed to maximize the likelihood of the complete data, and two approximate inference methods are developed to maximize the evidence lower bound by creating tractable structures. Then, a theoretical error probability lower bound is derived using the likelihood ratio test, and the algorithms are shown to get reasonably close to the bound. Finally, simulation results demonstrate that the proposed methods are highly effective and robust for non-ideal situations, outperforming baseline methods on simulated and real-life data. Copyright © 2024, The Authors. All rights reserved.

关键词： Hidden Markov models

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Bidirectional LSTM with Multiple Input Multiple Fusion Strategy for Speech Emotion Recognition

IAENG International Journal of Computer Science

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IAENG International Journal of Computer science 2021年第3期48卷 1-6页

作者： Fang, Yuanbo Fu, Hongliang Tao, Huawei Wang, Xia Zhao, Li Ministry of Education Zhengzhou450001 China Ministry of Education Zhengzhou450001 China Lecture of the Key Laboratory of Grain Information Processing and Control Henan University of Technology Ministry of Education Zhengzhou450001 China School of information science and engineering Southeast University Nanjing210096 China Lecture of the School of Information Science and Technology Nantong University Nantong226000 China Professor of the Laboratory of Underwater Acoustic Signal Processing Southeast University Nanjing210096 China

Speech emotion recognition is one of the important challenges in the field of artificial intelligence. In order to further improve the accuracy of speech emotion recognition, a double bidirectional long short-term memory network with multiple input multiple fusion strategy (DBL-MM) for speech emotion recognition is proposed. Firstly, log Mel spectrum feature and frame-level statistical feature are extracted from speech signals, and then the two types of frame-level features are input into two bidirectional LSTM networks for learning simultaneously. Secondly, attention pooling and average pooling are used to fuse the outputs of the two BiLSTM networks to obtain two high-level fusion features which are concatenated and batch normalized later. Finally, a softmax classifier is used to classify emotions. The proposed DBL-MM model simultaneously processes two different types of features and a multiple fusion strategy is used to better learn the subtle changes in emotion. The experimental results on two public datasets show the superiority of this method. © 2021. All Rights Reserved.

关键词： Long short-term memory

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Performance analysis of digital pulse interval modulation for underwater optical communication link in anisotropy oceanic turbulence

Performance analysis of digital pulse interval modulation fo...

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2021 International Conference on Laser, Optics and Optoelectronic technology, LOPET 2021

作者： Zhu, Yunzhou Zhang, Jianlei Wang, Xiaobo Du, Ying Yang, Yi He, Fengtao Kou, Linlin School of Marine Science and Technology Northwestern Polytechnical University Xi’an710072 China Science and Technology on Underwater Information and Control Laboratory Xi’an710077 China School of Electronic Engineering Xi’an University of Posts and Telecommunications Xi’an710121 China

ISBN: (数字)9781510646179

ISBN: (纸本)9781510646162

The performance analysis of underwater optical wireless communication (UOWC) with digital pulse interval modulation in anisotropy oceanic turbulence environment is investigated. We aim at the packet error rate (PER) of UOWC system using Gaussian-Schell model beam and avalanche photodiode receiver. Based on the generalized Huygens-Fresnel principle, the received light intensity is derived. The effects of PER variations with anisotropy factor, modulation order of DPIM, coherent parameters of the GSM and the ratio of temperature to salinity contributions to the refractive index spectrum are investigated. © 2021 SPIE

关键词： underwater optical wireless communication

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Spiking Neuron Networks based Energy-Efficient Object Detection for Mobile Robot

Spiking Neuron Networks based Energy-Efficient Object Detect...

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2021 China Automation Congress, CAC 2021

作者： Liu, Bo-Chao Yu, Qian Gao, Jing-Wen Zhao, Shuang Liu, Xiong-Chang Lu, Yan-Feng Beijing Information Science and Technology University Beijing China Institute of Automation Chinese Academy of Sciences Beijing China School of Artificial Intelligence University of Chinese Academy of Sciences Beijing China School of Instrument Science and Optoelectronic Engineering Beijing Information Science and Technology University Beijing China The State Key Laboratory of Management and Control for Complex Systems CASIA Beijing China Science and Technology on Underwater Vehicle Technology Laboratory Harbin Engineering University Harbin China

ISBN: (纸本)9781665426473

This paper focuses on the highly energy-efficient visual detection method, which first apples spiking neuron networks based object detection method in mobile robot. Visual perception is an important part of mobile robot, but the real-time visual perception is with high energy consumption that limits the battery running time of the robotic platform. In this paper, we bring in a Spiking-YOLO algorithm for the visual detection of the mobile robot, which combines the YOLO algorithm with the third generation artificial neural network-Spiking Neural Network (SNN). The Spiking-YOLO integrates the characteristics in real-time and high precision of the YOLO, and event-driven and low-powered nature of the SNN. We introduce the Spiking-YOLO model to the Robotnik's SUMMIT-XL mobile robot to perform the task of visual detection and the experimental verification is carried out on data sets. The experimental results show that this method has excellent energy-efficient and precision on the detection task of the robot. © 2021 IEEE

关键词： Neural networks

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Adaptive Symbol-by-Symbol Decision Feedback Threshold Detection Receiver to Suppress Oceanic Turbulence Scintillation Effect

SSRN

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SSRN 2022年

作者： Zhang, Jianlei Liang, Yingying Zhu, Yunzhou Yang, Yi Chen, Guannan Liu, Haoyu He, Fengtao School of Electronic Engineering Xi’an University of Posts & Telecommunications Xi’an710121 China Science and Technology on Underwater Information and Control Laboratory Xi’an710077 China School of Marine Science and Technology Northwestern Polytechnical University Xi’an710072 China

In this paper, an adaptive symbol-by-symbol decision feedback (DFB) threshold detection receiver is proposed that can suppress the scintillation effect of oceanic turbulence in underwater wireless optical communication (UWOC) system. The DFB receiver has a simple structure and can estimate the instantaneous channel state information (CSI) through the previously detected signal after adding pilot-symbols to the transmission data header. It thereby adaptively adjusts the decision threshold of the UWOC system receiver. The DFB receiver is independent of perfect CSI (PCSI);a channel model and transmitted signal power information are not essential for it. Moreover, the channel bandwidth can accommodate the inserted pilot-symbols. Using the gamma–gamma oceanic turbulence model, the performance of the DFB receiver under intensity fluctuation scintillation index [[EQUATION]] and [[EQUATION]] with different signal-to-noise ratios (SNRs) [[EQUATION]] and different pilot–symbol lengths [[EQUATION]] was simulated. The results showed that the performance of the proposed DFB receiver was highly similar to the performance of the ideal receiver with PCSI known in advance. When [[EQUATION]] , [[EQUATION]] , [[EQUATION]] , the bit error rate performance of the decision threshold [[EQUATION]] of the DFB receiver was the same as that of the decision threshold [[EQUATION]] of the PCSI receiver, and the SNR gain loss was 0 dB. Furthermore, a wavelet denoising method was designed to improve the DFB receiver performance. When the sampling frequency of the DFB receiver was 25 MHz, [[EQUATION]] , [[EQUATION]] , [[EQUATION]] , the proposed wavelet denoising preprocessing could obtain a SNR gain of 2.1 dB. These findings suggest that the proposed DFB receiver can promote the development of real-time applications of UWOC system. © 2022, The Authors. All rights reserved.

关键词： Scintillation

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A Dynamics Perspective of Defense-Intrusion Game

A Dynamics Perspective of Defense-Intrusion Game

引用

Chinese control Conference (CCC)

作者： Keyang Wang Rui Zhao Yintao Wang School of Marine Science and Technology Northwestern Polytechnical University Xi'an P. R. China National Key Laboratory of Underwater Information and Control Xi'an P. R. China The 705 Research Institute of China State Shipbuilding Corporation Limited Xi'an P. R. China

Defense-intrusion games are fascinating in both nature and the artificial world. In these games, the purpose of defender is to protect the target from being attacked by the intruder, and if possible, capture the intruder. This article solves the defense-intrusion game with considering the bio-inspired model adopted by two agents-a defender and an intruder, and obtains the attack and interception strategies. The intruder usually need to avoid the defender, so we provide attack strategy based on setting the intruder's emergency maneuver distance, and compare it with the strategy based on artificial potential field method proposed in our previous work. For the defender, we design a radical interception strategy and a conservative interception strategy according to different circumstances. Numerical simulations are conducted to illustrate the effectiveness of the proposed strategies. The results are consistent with natural observations and disclose some natural laws in the defense-intrusion scenario. This paper will provide a reference for the research of intrusion prevention related to marine robots.

关键词：

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Spiking Neuron Networks based Energy-Efficient Object Detection for Mobile Robot

Spiking Neuron Networks based Energy-Efficient Object Detect...

引用

Chinese Automation Congress (CAC)

作者： Bo-Chao Liu Qian Yu Jing-Wen Gao Shuang Zhao Xiong-Chang Liu Yan-Feng Lu Beijing Information Science and Technology University Institute of Automation Chinese Academy of Sciences Beijing China School of Artificial Intelligence University of Chinese Academy of Sciences Beijing China School of Instrument Science and Optoelectronic Engineering Beijing Information Science and Technology University Beijing China The State Key Laboratory of Management and Control for Complex Systems CASIA Beijing China Science and Technology on Underwater Vehicle Technology Laboratory Harbin Engineering University Harbin China

ISBN: (纸本)9781665426480

关键词： Visualization Energy consumption Neurons Object detection Energy efficiency Real-time systems Mobile robots

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Comparison between 31-mode and 33-mode Thin-walled Piezoelectric Tube Hydrophones

Comparison between 31-mode and 33-mode Thin-walled Piezoelec...

引用

OCEANS

作者： Duo Teng Yatian Li Hu Yang School of Marine Science and Technology National Key Laboratory for Underwater Information Processing and Control Northwestern Polytechnical University Xi'an China

ISBN: (数字)9781728154466

ISBN: (纸本)9781728184098

As the common configuration of hydrophone, the thin-walled piezoelectric tubes develop the two different modes, namely 31 mode and 33 mode. Their behaviors and the performances are studied, especially their receiving characteristics. A comparison about the sensitivity between 31 mode case and 33 mode case are presented based on the elastostatic theory and the finite element method. The approach to obtain the receiving voltage response in finite element analysis is introduced according to the electroacoustic reciprocity formula. Some hydrophone prototypes of 31-mode and 33-mode thin- walled piezoelectric tubes have been fabricated and the corresponding tests in the anechoic tank have been finished. The results show that 33-mode tube is capable of providing the sensitivity by approximately 20 dB higher than 31-mode tube with the similar size.

关键词： Sensitivity Oceans Sonar equipment Prototypes Electron tubes Finite element analysis Electric fields

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Finite Element Analysis of the Low-frequency Small-size Transducer With Coupled Longitudinal and Flexural Vibration

Finite Element Analysis of the Low-frequency Small-size Tran...

引用

OCEANS

作者： Duo TENG Yatian LI School of Marine Science and Technology National Key Laboratory for Underwater Information Processing and Control Northwestern Polytechnical University Xi'an China

ISBN: (数字)9781728154466

ISBN: (纸本)9781728184098

A novel longitudinal-flexural complex-mode transducer called cascade-connected transducer is presented. The combination of the longitudinal vibration derived from the piezoelectric stacks and the flexural vibration derived from the cross beams is beneficial to the performances of low frequency and small size of transducer. A comparison of the cascade-connected transducer and the Tonpilz transducer is finished through finite element method. Two cascade-connected transducers with ten segments are fabricated, and the related tests show that the cascade-connected transducer has the outstanding characteristics of low frequency and small size.

关键词： Vibrations Transducers Prototypes Bending Finite element analysis Acoustic beams underwater acoustics

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