{"title":"一种基于TDOA的增强秘书鸟优化算法","authors":"Yanping Liao, Chanjuan Xing, Qiang Guo","doi":"10.1016/j.phycom.2025.102853","DOIUrl":null,"url":null,"abstract":"<div><div>The target localization equations base on time difference of arrival (TDOA) are highly nonlinear and nonconvex, leading to challenges in traditional mathematical methods, such as poor localization robustness, a sharp decline in accuracy with increased noise, and difficulty in ensuring convergence. Metaheuristic algorithms have great potential for solving complex, multimodal, high-dimensional, nonlinear optimization problems. Inspired by the characteristics of metaheuristic algorithms, an enhanced secretary bird optimizer is proposed to address the shortcomings of existing TDOA-based localization algorithms in this paper. Simulation results show that the proposed method exhibits higher robustness and localization accuracy in different simulation scenarios, compared to traditional mathematical algorithms and other metaheuristic algorithms.</div></div>","PeriodicalId":48707,"journal":{"name":"Physical Communication","volume":"73 ","pages":"Article 102853"},"PeriodicalIF":2.2000,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An enhanced secretary bird optimization algorithm for target localization based on TDOA\",\"authors\":\"Yanping Liao, Chanjuan Xing, Qiang Guo\",\"doi\":\"10.1016/j.phycom.2025.102853\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The target localization equations base on time difference of arrival (TDOA) are highly nonlinear and nonconvex, leading to challenges in traditional mathematical methods, such as poor localization robustness, a sharp decline in accuracy with increased noise, and difficulty in ensuring convergence. Metaheuristic algorithms have great potential for solving complex, multimodal, high-dimensional, nonlinear optimization problems. Inspired by the characteristics of metaheuristic algorithms, an enhanced secretary bird optimizer is proposed to address the shortcomings of existing TDOA-based localization algorithms in this paper. Simulation results show that the proposed method exhibits higher robustness and localization accuracy in different simulation scenarios, compared to traditional mathematical algorithms and other metaheuristic algorithms.</div></div>\",\"PeriodicalId\":48707,\"journal\":{\"name\":\"Physical Communication\",\"volume\":\"73 \",\"pages\":\"Article 102853\"},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2025-09-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Physical Communication\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1874490725002563\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Physical Communication","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1874490725002563","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
An enhanced secretary bird optimization algorithm for target localization based on TDOA
The target localization equations base on time difference of arrival (TDOA) are highly nonlinear and nonconvex, leading to challenges in traditional mathematical methods, such as poor localization robustness, a sharp decline in accuracy with increased noise, and difficulty in ensuring convergence. Metaheuristic algorithms have great potential for solving complex, multimodal, high-dimensional, nonlinear optimization problems. Inspired by the characteristics of metaheuristic algorithms, an enhanced secretary bird optimizer is proposed to address the shortcomings of existing TDOA-based localization algorithms in this paper. Simulation results show that the proposed method exhibits higher robustness and localization accuracy in different simulation scenarios, compared to traditional mathematical algorithms and other metaheuristic algorithms.
期刊介绍:
PHYCOM: Physical Communication is an international and archival journal providing complete coverage of all topics of interest to those involved in all aspects of physical layer communications. Theoretical research contributions presenting new techniques, concepts or analyses, applied contributions reporting on experiences and experiments, and tutorials are published.
Topics of interest include but are not limited to:
Physical layer issues of Wireless Local Area Networks, WiMAX, Wireless Mesh Networks, Sensor and Ad Hoc Networks, PCS Systems; Radio access protocols and algorithms for the physical layer; Spread Spectrum Communications; Channel Modeling; Detection and Estimation; Modulation and Coding; Multiplexing and Carrier Techniques; Broadband Wireless Communications; Wireless Personal Communications; Multi-user Detection; Signal Separation and Interference rejection: Multimedia Communications over Wireless; DSP Applications to Wireless Systems; Experimental and Prototype Results; Multiple Access Techniques; Space-time Processing; Synchronization Techniques; Error Control Techniques; Cryptography; Software Radios; Tracking; Resource Allocation and Inference Management; Multi-rate and Multi-carrier Communications; Cross layer Design and Optimization; Propagation and Channel Characterization; OFDM Systems; MIMO Systems; Ultra-Wideband Communications; Cognitive Radio System Architectures; Platforms and Hardware Implementations for the Support of Cognitive, Radio Systems; Cognitive Radio Resource Management and Dynamic Spectrum Sharing.