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16th International Conference on signal processing Systems, ICSPS 2024

作者： Lv, Meng Rou Li, Bei Ning Chang, Xuan Yu Qin, Hao Wan, Qun School of Information and Communication Engineering Nation Key Laboratory on Blind Signal Processing University of Electronic Science and Technology of China Sichuan Chengdu611731 China

ISBN: (纸本)9781510689251

Wireless indoor positioning currently has a wider range of application, and high-precision positioning is considered a key capability after 5G. Angle-of-Arrival (AOA) and Time-of-arrival (TOA) positioning techniques has received widespread attention because it requires only two base stations and does not need synchronization time to complete the positioning. However, the disadvantage is that a small angle measurement error will have a large impact on the positioning accuracy. In this paper, an approach to joint line-of-sight (LOS) and non-line-of-sight (NLOS) localization based on TOA and AOA measurements of both direct and reflected paths was proposed. In addition, a pseudo-linear algorithm was used to provide a closed form solution for localization. The effect of measurement errors on pseudo-linear estimation was analyzed to enhance estimation accuracy and compare it with maximum likelihood estimation and CRLB (Cramér-Rao Lower Bound). Simulation results indicate that the positioning model and error analysis employed in this study are feasible and meet the requirements for high-precision positioning. © 2025 SPIE.

关键词： Time of arrival

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Linear Subspace Surrogate Modeling for Large-Scale Expensive Single/Multi-Objective Optimization

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IEEE Transactions on Evolutionary Computation 2023年第3期29卷 1-1页

作者： Si, Langchun Zhang, Xingyi Tian, Ye Yang, Shangshang Zhang, Limiao Jin, Yaochu School of Computer Science and Technology Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education Anhui University Hefei China School of Artificial Intelligence Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education Anhui University Hefei China Information Materials and Intelligent Sensing Laboratory of Anhui Province Anhui University Hefei China Faculty of Technology Bielefeld University Bielefeld Germany

Despite that the surrogate-assisted evolutionary algorithms have achieved great success in addressing expensive optimization problems, they still suffer from stiff challenges when the number of dimensions of problems becomes large. The primary reason lies in that it is very hard to build an acceptable surrogate model in the high-dimensional search space with small amounts of evaluated historical data in evolution. To tackle this issue, we suggest an effective surrogate modeling method for large-scale expensive optimization in this paper, where the models are built on a number of linear subspaces instead of the original search space. Specifically, a linear subspace is constructed by a pair of points/solutions which are generated based on the set of elite solutions. For each linear subspace, several historical solutions are first associated according to their distance to the linear subspace, and then a surrogate model is trained by the associated solutions and used to evaluate the offspring. To ensure the exploration and exploitation capacity of the proposed method, these linear subspaces and the surrogate models are updated after a few iterations. Experimental results on CEC’2010 and CEC’2013 single-objective optimization problems with up to 1500 decision variables show that the proposed algorithm is superior over six comparison algorithms. Moreover, we also extend the proposed algorithm to multi-objective optimization problems and verified its competitiveness on problems with up to 1500 decision variables. IEEE

关键词： Evolutionary algorithms

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Comparison of CRB on TOA Estimation of LOS Path between Incoherent and Coherent processing of Two Subbands CSI Measurements 16

Comparison of CRB on TOA Estimation of LOS Path between Inco...

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16th International Conference on signal processing Systems, ICSPS 2024

作者： Fan, Yiting Liu, Yi Sun, Luyao Liu, Yipeng Wan, Qun Nation Key Laboratory on Blind Signal Processing School of Information and Communication Engineering University of Electronic Science and Technology of China Sichuan Chengdu611731 China

ISBN: (纸本)9781510689251

Compared with the Wi-Fi received signal strength (RSS) commonly used in indoor localization, channel state information (CSI) contains physical layer information such as amplitude and phase of each subcarrier during signal transmission. Therefore, the indoor localization based on (CSI) can achieve higher accuracy, which has been widely used. However, when bandwidth is insufficient, it is challenging to distinguish the multiple-path components in CSI. In order to further improve the estimated accuracy of the line of sight (LOS) path time of arrival (TOA), multiple subbands are considered. In this paper, the Cramer-Rao Bounds (CRBs) of multiple-path TOA estimation for coherent and non-coherent processing of two subbands are derived. In addition, a concise approximate of CRB on TOA of LOS path is given, which can directly reveal the effect of key variables, such as time delay and phase difference between two subbands. Through simulation, the performance of single subband, coherent and non-coherent processing of two subbands are compared, and the hyper-coherent effect on LOS path TOA estimation with two subbands is verified. © 2025 SPIE.

关键词： Cramer-Rao bounds

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Performance Bound on Blind Estimation of Environmental Parameters and Radiation Source Locations with Misspecified Multipath TOA Measurements 16

Performance Bound on Blind Estimation of Environmental Param...

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16th International Conference on signal processing Systems, ICSPS 2024

作者： Wen, Hao Jiao, Yang Zhang, Kehao Peng, Xiangyu Wan, Qun Nation Key Laboratory on Blind Signal Processing School of Information and Communication Engineering University of Electronic Science and Technology of China Sichuan Chengdu611731 China

ISBN: (纸本)9781510689251

Multipath propagation has attracted extensive attention due to its inclusion of environmental information. However, it is difficult to match multipath with the environment without a priori knowledge, making it challenging to exploit multipath. This paper focuses on the performance bound of the estimation problem in a rectangular room. Due to the lack of parameter information of the room in base station (BS), the estimation of environmental parameters and locations of user equipment (UE) distributed in the room are blind estimation problems. Measurements are the time of arrival (TOA) of first-order non-line-of-sight (NLOS) paths and line-of-sight (LOS) path between the BS and UEs, but the specific pairing between NLOS paths and the environment remains unknown. The paper first describes the pairing problem, which causes misspecified multipath TOA measurements, and subsequently derives the likelihood function and the performance bound known as the misspecified Cramer-Rao bound (MCRB) under various pairing conditions. Simulation results demonstrate that only under correct pairings or just a few wrong pairings, the MCRB will significantly less than the other case. © 2025 SPIE.

关键词： Cramer-Rao bounds

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TDOA Estimation Method Based on Frequency Domain Decimation 16

TDOA Estimation Method Based on Frequency Domain Decimation

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16th International Conference on signal processing Systems, ICSPS 2024

作者： Zhai, Jingyu Wang, Chenchen Jiao, Yang Liu, Yipeng Wan, Qun Nation Key Laboratory on Blind Signal Processing School of Information and Communication Engineering University of Electronic Science and Technology of China Sichuan Chengdu611731 China

ISBN: (纸本)9781510689251

The estimation of Time Difference of Arrival (TDOA) stands as a pivotal aspect of TDOA localization. This paper explores the TDOA estimation method utilizing decimation compression sampling for general signals and introduces a decimation compression sampling technique grounded in convex optimization. Simulation outcomes reveal that for signals possessing limited frequency domain sparsity, the data compression methodology advocated in this paper, in contrast to the traditional decimation compression method predicated on amplitude spectrum sorting, notably mitigates the root mean square error (RMSE) performance loss in Time Difference Maximum Likelihood Estimation (MLE). © 2025 SPIE.

关键词： Mean square error

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The Analysis of Indoor High-precision Positioning Performance using Dual-panel System 16

The Analysis of Indoor High-precision Positioning Performanc...

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16th International Conference on signal processing Systems, ICSPS 2024

作者： Ma, Yubin Lv, Mengrou Sun, Luyao Li, Junlin Wan, Qun School of Information and Communication Engineering Nation Key Laboratory on Blind Signal Processing University of Electronic Science and Technology of China Sichuan Chengdu611731 China

ISBN: (纸本)9781510689251

This paper investigates the high-precision positioning capabilities of a dual-panel system operating in the millimeter-wave frequency band. It begins by highlighting the significance of high-precision positioning technologies. Additionally, it provides background on the advantages and challenges associated with millimeter-wave frequencies. The study introduces a novel method to enhance positioning accuracy. This method extends the baseline using reflecting surfaces and eliminates time discrepancies between Line-of-Sight (LOS) and Non-Line-of-Sight (NLOS) signals. The effectiveness of the proposed method is evaluated through a Cramér-Rao Lower Bound (CRLB) analysis. This analysis compares single-panel and dual-panel systems under various conditions, including considerations of transceiver delay. Simulation experiments demonstrate that the dual-panel system significantly improves positioning accuracy compared to the single-panel system. This improvement is consistent regardless of transceiver delay. The results indicate that the dual-panel system effectively mitigates multipath effects and NLOS conditions. As a result, there is enhanced positioning stability and accuracy. These findings provide valuable insights and methodologies for advancing indoor positioning technologies. © 2025 SPIE.

关键词： Transceivers

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Pipeline Chain-of-Thought: A Prompt Method for Large Language Model Relation Extraction 27

Pipeline Chain-of-Thought: A Prompt Method for Large Languag...

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27th International Conference on Asian Language processing, IALP 2023

作者： Zhao, Hangtian Yilahun, Hakiz Hamdulla, Askar School of Computer Science and Technology XinJiang University Xinjiang Key Laboratory of Signal Detection and Processing Urumqi China

ISBN: (纸本)9798350330786

The development of language models has been influencing approaches to relation extraction (RE) problems. Although large language models (LLMs) have demonstrated breakthrough potential in certain aspects, they are still in the exploratory stage for RE tasks. Currently, the mainstream approach to improving the RE performance of LLMs is through prompt fine-tuning, but most methods require providing entity information in the prompt, which effectively only allows the LLMs to perform relationship classification tasks. We propose the Pipeline Chain-of-Thought (Pipeline-COT), which breaks down the RE task into steps and transforms it into reasoning tasks that have flat scaling curves, thereby enabling the use of Chain-of-Thought (COT) to enhance model inference. In addition, our method utilizes n-shot samples to provide signals for the Bayesian inference of the model by prompting the LLMs to focus on specific concepts to generate answers. We evaluated pipeline-COT on the Chinese dataset DuIE2.0, and compared with baseline methods that require including entity information in the prompt, our method still shows competitive performance. © 2023 IEEE.

关键词： Pipelines

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Power Allocation for Multiple Sensing and Communication Tasks Using Massive MIMO Base Station 12

Power Allocation for Multiple Sensing and Communication Task...

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12th IEEE International Conference on Control, Automation and Information sciences, ICCAIS 2023

作者： Cao, Ziyi Wang, Xuanqi Yuan, Ye Yi, Wei Yan, Junkun University of Electronic Science and Technology of China School of Information and Communication Engineering Chengdu China University of Electronic Science and Technology of China Glasgow College Chengdu China Xidian University National Key Laboratory of Radar Signal Processing Xi'an China

ISBN: (纸本)9798350328783

In this paper, we consider a joint sensing and communication scenario with the simultaneous implementation of multiple sensing and communication tasks employing a massive multiple-input multiple-output (MIMO) base station system. This system operates on orthogonal frequency-division multiplexing (OFDM) modulations for both communication and sensing signals. To evaluate the performance of dual functions, we derive the lower bound on the achievable downlink rate for communication and signal-to-interference-plus-noise ratio (SINR) for radar detection. By focusing on the power allocation strategy, we propose two optimization cases with different emphasis on sensing and communication to explore the trade-off between radar performance and communication quality. The formulated optimization problem can be effectively solved via the binary search technique, and simulation results demonstrate its efficiency. © 2023 IEEE.

关键词： Base stations

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Dynamic Emergency Vehicle Prioritization in a Connected Urban Environment: A Rule-Based Approach 8

Dynamic Emergency Vehicle Prioritization in a Connected Urba...

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8th International Conference on Intelligent Traffic and Transportation, ICITT 2024 - incorporating the 8th International Conference on Communication and Network technology, ICCNT 2024

作者： Adnane, Ayoub Harkat, Yacine University of Science and Technology Houari Boumediene USTHB Speech Communication and Signal Processing Laboratory LCPTS Faculty of Elecrtrical engineering Beb Ezzouar Algeria

ISBN: (纸本)9781643685601

Efficient and rapid management of Emergency Vehicles (EVs) such as ambulances, fire trucks, and police vehicles is crucial for saving lives and protecting property. Road intersections often become bottlenecks, hindering the swift movement of EVs despite their priority. This paper proposes an Emergency Vehicle Priority Management (EVPM) system leveraging IoV, 5G connectivity, GPS, and V2X communication. The system employs a rule-based algorithm and real-time data to dynamically adjust traffic signals and vehicle lanes, minimizing disruptions to general traffic while prioritizing EVs. Simulations conducted using the SUMO traffic simulator and real-world traffic data from TAPASCologne demonstrate significant improvements in travel times, waiting times, and overall traffic flow efficiency. Specifically, the EVPM system achieved reductions in average travel times by 367s, waiting times by 31s/km, waiting counts by 9, and time loss by 40s/km, which correspond to an improvement of 27.18%, 60.91%, 59.42%, and 53.54% respectively. These results highlight the potential of the proposed system to enhance urban traffic management and emergency response efficiency. © 2024 The Authors.

关键词： Travel time

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On Cognitive radar Jamming for countering Cognitive Electromagnetic Protection systems

On Cognitive Radar Jamming for countering Cognitive Electrom...

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2024 IEEE International Workshop on Technologies for Defense and Security, TechDefense 2024

作者： Banerjee, Hemanga Ilioudis, Christos Clemente, Carmine Williams, Chris University of Strathclyde Centre for Signal and Image Processing Glasgow United Kingdom Defence Science and Technology Laboratory Porton Down Wiltshire United Kingdom

ISBN: (纸本)9798331505585

The paper introduces a novel model of a fully adaptive cognitive radar jamming approach, designed for the purpose of countering modern cognitive radars. Cognitive radar systems have been widely used in modern electromagnetic warfare and also serve as an effective counter to traditional jamming techniques. Cognitive jamming makes use of machine learning and adaptive signal processing strategies to dynamically adapt jamming strategies in response to real-time changes in target radar transmissions. The proposed model may be used to incorporate advanced reinforcement learning algorithms, signal feature extraction techniques, and waveform optimization techniques to create a cohesive system that can optimize jamming strategies with minimal prior knowledge of the electromagnetic environment. The paper also discusses the state-of-the-art in cognitive radar jamming technologies, and their efficiency in the face of intelligent radar equipped with advanced anti-jamming measures. Furthermore, it addresses current challenges and future directions in the field with considerations for defense and security applications. © 2024 IEEE.

关键词： Jamming

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