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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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Object Detection and Multiple Objective Optimization Manipulation Planning for underwater Autonomous Capture in Oceanic Natural Aquatic Farm

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Journal of Field Robotics 2025年第0期

作者： Hai, Huang Tao, Jiang Xinyu, Bian Hao, Zhou Xu, Yang Gang, Wang Hongde, Qin Xinyue, Han National Key Laboratory of Science and Technology on Underwater Vehicle Harbin Engineering University Harbin China State Key Laboratory of Management and Control for Complex System Institute of Automation Chinese Academy of Science Bei Jing China

underwater autonomous capture operations offer significant potential for reducing labor and health risks in sea organism industries. This study presents a comprehensive solution for cross-domain underwater object detection and autonomous capture. A novel unsupervised domain adaptive learning method is proposed, integrating multiscale domain adaptive modules and attention mechanisms into a Faster Region-Convolutional Neural Network framework. This approach enhances feature alignment across diverse aquatic domains without parameter tuning. Additionally, an efficient, parameterless constrained multiobjective optimization algorithm is introduced for underwater autonomous mobile capture, integrating parameterized trajectory planning with innovative features, such as adaptive mutation strategies and constraint violation tolerance. The proposed approaches are extensively validated through simulations, tank experiments, and real-world oceanic trials in the Natural Aquatic Farm of Zhangzidao Island. Results demonstrate the system's robustness in complex underwater environments with varying currents, with experimental outcomes validating the accuracy and reliability of detection and capture capabilities. This research significantly advances autonomous underwater systems' capabilities in object detection and capture tasks, addressing complex challenges in realistic organism capture applications across diverse aquatic environments. © 2025 Wiley Periodicals LLC.

关键词： Health risks

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The Thermal Character of the underwater Heat Exhausting Source

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Journal of Thermal science 2010年第5期19卷 445-450页

作者： Shengtao Chen,Huanying Liu and Yi Qi science and technology on underwater test and control laboratory,PO Box 67,Dalian,Liaoning 116013 Science and Technology on Underwater Test and Control Laboratory Dalian Liaoning China

The underwater heat exhausting source can cause the thermal difference of the surrounding and surface *** this paper,the thermal character caused by the underwater heat exhausting source is studied by numerical simulation and *** results show that the thermal floating distance is related with the sailing velocity of the underwater *** higher the velocity is,the longer the hot wake is,and the broader the hot scope *** relative distance of the thermal floating spot is almost in a logarithmic law with the *** experimental results are accordant with the numerical simulation,and the obvious hot wake can be observed by the moving underwater heat exhausting source testing with temperature sensors and infrared camera.

关键词： heat exhausting hot wake thermal character underwater target

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A Data Association Method Based on Azimuth Inverse Cotangent Value

A Data Association Method Based on Azimuth Inverse Cotangent...

引用

International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE)

作者： Nan Zou Muze Yin Guangpu Zhang Zhenqi Yang Pengbo Ma Dongyu Li National Key Laboratory of Underwater Acoustic Technology Harbin Engineering University Harbin China Key Laboratory of Marine Information Acquisition and Security (Harbin Engineering University) Ministry of Industry and Information Technology Harbin China College of Underwater Acoustic Engineering Harbin Engineering University Harbin China Science and Technology on Electronic Information Control Laboratory Chengdu China

ISBN: (数字)9798331531836

ISBN: (纸本)9798331531843

In this paper, we address the challenge of data association in scenarios involving multiple observers for underwater non-cooperative localization, where it is unclear how measurement data from different stations corresponds to the same target. We propose a novel data association method that leverages the inverse cotangent of azimuthal sequence features. The method first calculates the sequence of cotangent values measured by each station's bearing in a limited time. Linearly analyzes the sequence to obtain the slope, and finally realizes the data association according to the characteristic that the inverse cotangent value of the slope corresponds to the target's motion heading. The simulation results show that the proposed method has better association localization ability compared with the traditional method, overcomes the problem of the conventional method that the computational volume is too large when the number of observation stations and targets is large, and ensures the association correctness under a certain error.

关键词： Location awareness Power engineering Accuracy Azimuth Simulation Noise Observers Time measurement

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A Self-test Method for MEMS Gyroscope With Equivalent Inertial Force

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IEEE Transactions on Instrumentation and Measurement 2025年 74卷

作者： Zhou, Rui Cui, Rang Shen, Chong Shi, Yunbo Yu, Jingfeng Ren, Yanchao Cao, Huiliang North University of China Science and Technology on Electronic Test and Measurement Laboratory School of Instrument and Electronics Taiyuan030051 China Quanzhou Yunjian Measurement Control and Perception Technology Innovation Research Institute Quanzhou362000 China

This article introduces a self-test approach for micro-electromechanical system (MEMS) vibrating gyroscopes based on the concept of equivalent inertial force. By applying electrostatic signals to the feedback electrode, it is possible to simulate the inertial force input, enabling measurement of the gyroscope scale factor (SF) without reliance on physical testing equipment. This article presents the operational principle of equivalent inertial force, establishes the correlation between equivalent inertial force and angular velocity through derivation, and accomplishes the calibration of this relationship across a broad temperature range using quadrature feedback forces. In contrast to traditional methods, this approach facilitates direct measurement of the SF of the gyroscope and compensates for variations in the SF induced by alterations in the temperature and environmental conditions. The efficacy of the proposed approach was validated in a comparative experiment on a ring resonator gyroscope. In the open-loop mode, the average calibration error of the SF of the equivalent inertial force method and the turntable method is 5.608%. The long-term self-test repeatability is 1781.2 ppm. Furthermore, the SF self-compensation of the gyroscope within the temperature range of - 20°C to + 40°C was achieved using the self-test results. The temperature sensitivity of the SF before and after compensation changed from 6689.7 ppm/°C to 318.6 ppm/°C, which was reduced by 20×. © 1963-2012 IEEE.

关键词： Gyroscopes

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Discrimination Between Broadband underwater Target Echo and Reverberation Based on Signal Spectral Flatness Feature

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Chinese Journal of Electronics 2019年第3期28卷 542-550页

作者： CHEN Yunfei LI Sheng JIA Bing ZHANG Yang WANG Zhenshan LI Guijuan School of Naval Architecture Dalian University of Technology Science and Technology on Underwater Test and Control Laboratory

Reverberation is the major interference of active detection, discrimination between target echo and reverberation is difficult when the reverberation is very strong. For the distinguishing of underwater target echo with strong interference, the modulation feature of echo and reverberation spectrum are characterized by signal spectral flatness measure, and the relationship between signal spectral flatness and target physical properties are theoretically formed. A method of discrimination between broadband underwater target echo and reverberation that based on signal spectral flatness characteristics difference is proposed and studied. Sea experiment results of complex underwater target broadband acoustic scattering have shown that signal spectral flatness characteristics of underwater target broadband echo and reverberation have obvious differences. Target echo and reverberation can be well distinguished using the proposed method.

关键词： Echo Reverberation Signal spectral flatness Benchmark

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A group priority earliest deadline first scheduling algorithm

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Frontiers of Computer science 2012年第5期6卷 560-567页

作者： Qi LI Wei BA School of Control Science and Engineering Dalian University of TechnologyDalian 116024China Science and Technology on Underwater Test and Control Laboratory Dalian 116013China

In most priority scheduling algorithms, the num- ber of priority levels is assumed to be unlimited. However, if a task set requires more priority levels than the system can support, several jobs must in practice be assigned the same priority level. To solve this problem, a novel group priority earliest deadline first （GPEDF） scheduling algorithm is pre- sented. In this algorithm, a schedulability test is given to form a job group, in which the jobs can arbitrarily change their or- der without reducing the schedulability. We consider jobs in the group having the same priority level and use shortest job first （SJF） to schedule the jobs in the group to improve the performance of the system. Compared with earliest deadline first （EDF）, best effort （BE）, and group-EDF （gEDF）, simu- lation results show that the new algorithm exhibits the least switching, the shortest average response time, and the fewest required priority levels. It also has a higher success ratio than both EDF and gEDF.

关键词： real-time system group priority success ratio,switching

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A wearable, ultrasonically-actuated magnetic-dipole rotating resonator for mobile communication in cross-medium environment

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Nature Communications 2025年第1期16卷 1-10页

作者： Cheng, Zhi Wang, Xiangyi Lv, Xiangmeng Sun, Jianming Chu, Zhaoqiang Zhou, Jing Dong, Shuxiang College of Mechatronics and Control Engineering and Institute for Advanced Study Shenzhen University Shenzhen China School of Materials Science and Engineering Wuhan University of Technology Wuhan China School of Materials Science and Engineering Peking University Beijing China National Key Laboratory of Underwater Acoustic Technology and College of Underwater Acoustic Engineering Harbin Engineering University Harbin China

Traditional MHz and GHz electromagnetic antennas face challenges of high attenuation rate in cross-medium communication;while mechanical antennas are hindered by their large size, high energy consumption and weak radiation capacity. Here, we report a centimeter-scale, wearable ultrasonically-actuated magnetic-dipole rotating resonator (UA-MDRR) for efficient extremely low frequency (ELF) electromagnetic wave transmission in extreme environments. The UA-MDRR employs a small multilayer piezoelectric ceramic (0.11 cm³) to rotate a disc-type NdFeB magnet, generating ELF radiation through an electro-mechanical-magnetic (EMM) coupling effect. This device achieves a high emission capacity of 24,000 nT/cm³@1 m, outperforming the state-of-the-art resonators/antennas by one to two orders of magnitude. It can emit a magnetic field strength of 2.64 pT in air and 2.12 pT underwater at 100 m, respectively, while consuming only 0.61 W of power. This innovation represents a groundbreaking advancement in cross-medium communication, offering a mobile wearable device for emergency communication in seawater for life saving. © The Author(s) 2025.

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The Arithmetic Fourier Transform

引用

IEEE ASSP Magazine 1988年第1期5卷 13-17页

作者： Tufts, D.W. Sadasiv, G. Science and Technology on Underwater Test and Control Laboratory

We present preliminary results on the VLSI design and implementation of a novel and promising algorithm for accurate high-speed Fourier analysis and synthesis. The Arithmetic Fourier Transform (AFT) is based on the number-theoretic method of Mobius inversion. Its computations proceed in parallel and the individual operations are very simple. Except for a small number of scalings in one stage of the computation, only multiplications by 0, +1, and —1 are required. If the input samples were not quantized and if ideal realnumber operations were used internally, then the results would be exact. The accuracy of the computation is limited only by the input A/D conversion process, any constraints on the word lengths of internal accumulating registers, and the implementation of the few scaling operations. Motivated by the goal of efficient, effective, high-speed realization of the algorithm in an integrated circuit, we propose to introduce further simplicities by the use of delta modulation to represent the input function in digital form. The result is that only binary (or preferably, ternary) sequences need to be processed in the parallel computations. And the required accumulations can be replaced by up/down counters. The dynamic range of the resulting transformation can be increased by the use of adaptive delta modulation (ADM). © 1988 IEEE

关键词： Arithmetic Fourier transforms Signal processing algorithms Algorithm design and analysis Concurrent computing Delta modulation Adaptive signal processing Very large scale integration Signal processing Registers

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An auditory periphery model for improving narrow-band noise recognition rate of underwater targets

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Chinese Journal of Acoustics 2018年第3期37卷 325-340页

作者： LIN Zhengqing QIU Mengran BA Wei Science and Technology on Underwater Test and Control Laboratory

The recognition rate of the auditory periphery features decreases when the model is used to identify underwater targets in practice. To solve this problem, an improved method based on Gammatone filter bank is proposed. Firstly, after the reason of the decreasing of the recognition results is analyzed, the mechanism of multichannel data acquisition in acoustic engineering may narrow down signal frequency range, which leads to time-frequency features distortion. Secondly, the Gammatone filter bank is implemented to simulate frequency decom- position characteristics of human ear basilar membrane. Since the class information of the underwater noise signal is mostly contained in low frequency range, the auditory features of the conventional model are interpolated and the channel number of the filter bank and the central frequency of each frequency band are adjusted accordingly to obtain a 27-dimensional feature vector of the narrow-band target signal. The adjusted model may reflect the target＇s time- frequency feature more precisely. Finally, the performance of the auditory features is tested by a Neural Network classifier. The experiment results show that the modified auditory model is more effective than the conventional ones. The major information contained in broadband signals is reserved and the classification ability for real targets is further enhanced. The recog- nition results are increased from 82.59% to 88.80%. The modified auditory features effectively improve the recognition rate for underwater target radiated noise signals.

关键词： An auditory periphery model for improving narrow-band noise recognition rate of underwater targets

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