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Spoofing mitigation in Global Positioning System based on C/A code self-coherence with array signal processing

JOURNAL OF COMMUNICATIONS TECHNOLOGY AND ELECTRONICS 2017年第1期62卷 66-73页

作者： Bao, Lina Wu, Renbiao Wang, Wenyi Lu, Dan Tianjin Univ Sch Elect Informat Engn Tianjin 300072 Peoples R China Civil Aviat Univ China Tianjin Key Lab Adv Signal Proc Tianjin 300300 Peoples R China

Spoofing is a deliberate attack that can coerce Global Positioning System (GPS) receivers into providing false position/navigation solutions. Spoofing is more dangerous than jamming since the target receiver is not aware of this menace. In this paper, a novel signal processing scheme is proposed for rejecting the repeat spoofing, which is based on the strong self-coherence property of the C/A code. Firstly, the number and Direction-of-arrivals (DOAs) of spoofing attacks are estimated by the MUSIC-Like DOA estimation method based on the Framework of Beamforming (MLFB). Then, the constrained version of cross spectral self-coherence restoral (cross-SCORE) algorithm is applied to mitigate the spoofing. The proposed scheme can simultaneously mitigate spoofing and adaptively provide high beamforming gain for authentic signal without the prior information of DOAs of the authentic signal. Moreover, the scheme can be used as an independent spoofing mitigation module that can be embedded in the GPS receiver. Simulation experiments demonstrate the effectiveness of the proposed scheme.

关键词： global positioning system (GPS) spoofing mitigation direction-of-arrival (DOA) estimation array signal processing

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Introduction to the Issue on Time/Frequency Modulated array signal processing

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IEEE JOURNAL OF SELECTED TOPICS IN signal processing 2017年第2期11卷 225-227页

作者： So, Hing Cheung Amin, Moeness G. Blunt, Shannon Gini, Fulvio Wang, Wen-Qin City Univ Hong Kong Dept Elect Engn Hong Kong Hong Kong Peoples R China Villanova Univ Ctr Adv Commun Philadelphia PA 19805 USA Univ Kansas Elect Engn & Comp Sci Dept Lawrence KS 66045 USA Univ Pisa Dept Informat Engn I-56126 Pisa Italy Univ Elect Sci & Technol China Sch Commun & Informat Engn Chengdu 611731 Sichuan Peoples R China

The papers in this special section focus on time/frequency modulated array signal processing. Phased-array is known for its capability to electronically steer a beam towards a desired direction. However, this beam steering does not account for the target range. There is an increasing need to control the range-dependent transmit energy distribution in applications involving interference suppression, directional communications, and range ambiguity. Towards this end, several advanced array design approaches have been introduced, which include time modulated array (TMA), frequency diverse array (FDA), and frequency diversity or time division based multiple-input multiple-output (MIMO) systems. This special issue (SI) covers a variety of signal processing approaches, all based on time/frequency modulated arrays. It aims to compile relevant research contributions from various disciplines, including statistical signal processing for radar and communications, antenna array design and synthesis, and applied mathematics.

关键词： Special issues and sections array signal processing MIMO Radar imaging Frequency modulation Time-frequency analysis

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Robust GNSS Receivers by array signal processing: Theory and Implementation

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PROCEEDINGS OF THE IEEE 2016年第6期104卷 1207-1220页

作者： Fernandez-Prades, Carles Arribas, Javier Closas, Pau CTTC Stat Inference Commun & Positioning Dept Commun Syst Div Barcelona 08860 Spain

One of the main vulnerabilities of GNSS receivers is their exposure to intentional or unintentional jamming signals, which could even cause service unavailability. Several alternatives to counteract these effects were proposed in the literature, being the most promising those based on multiple antenna architectures. This is specially the case for high-grade receivers used in applications requiring reliability and robustness. This article provides an overview of the possible receiver architectures encompassing antenna arrays and the associated signal processing techniques. Emphasis is also put on the most typical implementation issues found when dealing with such technology. A thorough survey is complemented with a set of experiments, including real data processing by a working prototype, which exemplifies the above ideas.

关键词： Adaptive arrays array signal processing availability electromagnetic interference global positioning system radio navigation receiving antennas robustness satellite navigation systems

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Wind speed and direction measurement based on arc ultrasonic sensor array signal processing algorithm

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ISA TRANSACTIONS 2016年 65卷 437-444页

作者： Li, Xinbo Sun, Haixin Gao, Wei Shi, Yaowu Liu, Guojun Wu, Yue Jilin Univ Sch Commun Engn Renmin St 5988 Changchun 130022 Peoples R China Jilin Univ Sch Mech Sci & Engn Renmin St 5988 Changchun 130022 Peoples R China Changchun Univ Sch Elect & Informat Engn Weixing Rd 6543 Changchun 130022 Peoples R China

This article investigates a kind of method to measure the wind speed and the wind direction, which is based on arc ultrasonic sensor array and combined with array signal processing algorithm. In the proposed method, a new arc ultrasonic array structure is introduced and the array manifold is derived firstly. On this basis, the measurement of the wind speed and the wind direction is analyzed and discussed by means of the basic idea of the classic MUSIC (Multiple signal Classification) algorithm, which achieves the measurements of the 360 degrees wind direction with resolution of 1 degrees and 0-60 m/s wind speed with resolution of 0.1 m/s. The implementation of the proposed method is elaborated through the theoretical derivation and corresponding discussion. Besides, the simulation experiments are presented to show the feasibility of the proposed method. The theoretical analysis and simulation results indicate that the proposed method has superiority on anti-noise performance and improves the wind measurement accuracy. (C) 2016 ISA. Published by Elsevier Ltd. All rights reserved.

关键词： Arc ultrasonic sensor Anemometer Wind speed and wind direction measurement array signal processing

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Biomimetic array signal processing Based on Dynamical Properties of Coupling Auditory System 13

Biomimetic Array Signal Processing Based on Dynamical Proper...

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13th IEEE International Conference on signal processing (ICSP)

作者： Hou, Yanli Hu, Boning Ji, Xuejun Xia, Kewen China Elect Technol Grp Corp Res Inst 54 Shijiazhuang 050081 Hebei Peoples R China Hebei Univ Sci & Technol Inst Informat Sci & Engn Shijiazhuang 050018 Hebei Peoples R China Hebei Univ Technol Sch Elect & Informat Engn Tianjin 300401 Peoples R China

ISBN: (纸本)9781509013456

Modern direction finding (DF) methods usually use antenna arrays to receive information from an unknown radiation source, and further process the information in order to locate the transmission source. Small aperture array is easy to carry, install, deploy and operate because of small volume, light weight, and it is preferred to large aperture array, and is frequently used in many aspects such as the navigation of ships and aircrafts, locating interfering or illegal transmitters. But at the same time, small aperture array has poor performance in precision. This work demonstrates the signals received by small aperture array are processed coupled, and the differences between signals in amplitude and phase are amplified greatly, which makes it possible that small aperture array is able to have good performance.

关键词： array signal processing biomimetic coupled processing ormia ochracea

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Experimental array signal processing Demonstration System by Utilizing Microphone array

Experimental Array Signal Processing Demonstration System by...

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CIE International Conference on Radar (RADAR)

作者： Sun, Yuze Yang, Xiaopeng Guo, Liyong Long, Teng Beijing Inst Technol Beijing Key Lab Embedded Real Time Informat Proc Sch Informat & Elect Beijing Peoples R China

ISBN: (纸本)9781509048281

Adaptive array signal processing is widely used in radar, communication, sonar, navigation and other signal processing applications. Practical experimental verification is important to evaluate the performance of array signal processing methods. However, the conventional experimental verification for adaptive array signal processing are often conducted with massive radio frequency equipments, which leads to high cost and huge complexity. Therefore, it is necessary to construct an experimental demonstration system with low cost and high flexibility, which can conveniently verify the performance of adaptive array signal processing methods. In this paper, an experimental adaptive array signal processing demonstration system by utilizing the microphone array is proposed, and corresponding experiments of DOA estimation and adaptive beamforming are conducted based on the proposed microphone array system in different environment. Compared with traditional radio frequency system, it is found that the designed system can reduce the experimental cost and complexity of adaptive array signal processing verification.

关键词： array signal processing microphone array DOA adaptive beamforming

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Localization Algorithm for the PD Source in Substation Based on L-Shaped Antenna array signal processing

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IEEE TRANSACTIONS ON POWER DELIVERY 2015年第1期30卷 472-479页

作者： Hou, Huijuan Sheng, Gehao Jiang, Xiuchen Shanghai Jiao Tong Univ Dept Elect Engn Shanghai 200240 Peoples R China

A novel algorithm based on L-shaped antenna array signal processing is proposed in this paper for the localization of partial-discharge (PD) sources in substations. The principle of estimation of signal parameter via rotational invariance techniques has been used for finding the direction of arrival (DOA) of signals. Third-order cumulants of signals are used in this algorithm, by which Gaussian white noises and periodic narrowband interference mixed in observed signals can be efficiently suppressed. Planar location of PD sources can be obtained by solving the intersecting point of two lines in DOAs. Therefore, solving nonlinear equations can be avoided. Besides, it is convenient to replace the observed signals with their envelopes in this algorithm. The proposed algorithm is used to process mixed signals with simulated ultrahigh frequency (UHF) signals by electromagnetic-wave simulation software, Gaussian white noises of different signal-to-noise ratios, and fixed-frequency noises. The planar location of PD sources is obtained approximately. UHF signals collected in substations and their envelopes have proven to be suitable to locate PD sources effectively by the proposed algorithm as well. Therefore, the accuracy and feasibility of the proposed algorithm are proved.

关键词： array signal processing directions of arrival estimation estimation of signal parameter via rotational invariance techniques localization algorithm partial discharge (PD) thirdorder cumulants ultra-high frequency (UHF)

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Biomimetic array signal processing Based on Dynamical Properties of Coupling Auditory System

Biomimetic Array Signal Processing Based on Dynamical Proper...

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2016 IEEE 13th International Conference on signal processing（ICSP2016）

作者： Yanli Hou Boning Hu Xuejun Ji Kewen Xia The 5th Research Institute of China Electronics Technology Group Corporation Institute of Information Science and Engineering Hebei University of Science and Technology School of Electronic and Information Engineering Hebei University of Technology The 54th Research Institute of China Electronics Technology Group Corporation

Modern direction finding(DF) methods usually use antenna arrays to receive information from an unknown radiation source, and further process the information in order to locate the transmission source. Small aperture array is easy to carry, install, deploy and operate because of small volume, light weight, and it is preferred to large aperture array, and is frequently used in many aspects such as the navigation of ships and aircrafts, locating interfering or illegal transmitters. But at the same time, small aperture array has poor performance in precision. This work demonstrates the signals received by small aperture array are processed coupled, and the differences between signals in amplitude and phase are amplified greatly,which makes it possible that small aperture array is able to have good performance.

关键词： array signal processing biomimetic coupled processing ormia ochracea

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Distributed signal processing for Extremely Large-Scale Antenna array Systems: State-of-the-Art and Future Directions

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IEEE JOURNAL OF SELECTED TOPICS IN signal processing 2025年第2期19卷 304-330页

作者： Xu, Yanqing Larsson, Erik G. Jorswieck, Eduard A. Li, Xiao Jin, Shi Chang, Tsung-Hui Chinese Univ Hong Kong Sch Sci & Engn Shenzhen 518172 Peoples R China Linkping Univ Dept Elect Engn Linkping Sweden Tech Univ Carolo Wilhelmina Braunschweig Inst Commun Technol D-38106 Braunschweig Germany Southeast Univ Natl Mobile Commun Res Lab Nanjing 210096 Peoples R China Chinese Univ Hong Kong Sch Artificial Intelligence Shenzhen 518172 Peoples R China Shenzhen Res Inst Big Data Shenzhen 518172 Peoples R China

Extremely large-scale antenna arrays (ELAA) play a critical role in enabling the functionalities of next generation wireless communication systems. However, as the number of antennas increases, ELAA systems face significant bottlenecks, such as excessive interconnection costs and high computational complexity. Efficient distributed signal processing (SP) algorithms show great promise in overcoming these challenges. In this paper, we provide a comprehensive overview of distributed SP algorithms for ELAA systems, tailored to address these bottlenecks. We start by presenting three representative forms of ELAA systems: single-base station ELAA systems, coordinated distributed antenna systems, and ELAA systems integrated with emerging technologies. For each form, we review the associated distributed SP algorithms in the literature. Additionally, we outline several important future research directions that are essential for improving the performance and practicality of ELAA systems.

关键词： Antenna arrays Wireless communication Antennas Massive MIMO signal processing algorithms array signal processing Transmitting antennas Receiving antennas Costs 6G mobile communication Extremely large-scale antenna array decentralized baseband processing distributed antenna system distributed signal processing

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Guest Editorial Distributed signal processing for Extremely Large-Scale Antenna array Systems

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IEEE JOURNAL OF SELECTED TOPICS IN signal processing 2025年第2期19卷 298-303页

作者： Chang, Tsung-Hui Jorswieck, Eduard A. Larsson, Erik G. Li, Xiao Swindlehurst, A. Lee Chinese Univ Hong Kong Shenzhen 518172 Peoples R China Tech Univ Carolo Wilhelmina Braunschweig D-38106 Braunschweig Germany Linkoping Univ S-58183 Linkoping Sweden Southeast Univ Nanjing 210093 Peoples R China Univ Calif Irvine Irvine CA 92697 USA

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