空天防御2025，Vol.8Issue(1)：86-94,9.
基于CRLB的空中目标水下分布式声跟踪算法设计
Design of Distributed Underwater Acoustic Tracking Algorithm for Aerial Targets Based on CRLB
摘要
Abstract
A distributed acoustic tracking algorithm for underwater targets,employing the Cramer-Rao Lower Bound(CRLB),was proposed in this study to improve air detection for underwater preset unmanned platforms.Firstly,this algorithm employed underwater distributed sonar to capture the radiated noise of aerial targets and applied signal processing methods to acquire the target's azimuth information.Then,integrating the pure azimuth observations from multiple underwater unmanned detection platforms enabled distributed pure azimuth tracking of targets.Finally,the underwater distributed unmanned detection system was optimized using the CRLB to enhance the robustness of air target tracking.Simulation results demonstrate that,in typical air-to-sea mission scenarios,the proposed algorithm successfully achieves a tracking error of within 5%and presents real-time node adjustment capabilities.关键词
纯方位跟踪(EKF)/扩展卡尔曼滤波/波束形成/多目标跟踪/克拉美罗界(CRLB)Key words
bearing-only tracking/extend Kalman filter(EKF)/beam forming/multi target tracking/Cramer-Rao lower bound(CRLB)分类
信息技术与安全科学引用本文复制引用
何清林,赵宏宇,陈雨轩,侯翔昊..基于CRLB的空中目标水下分布式声跟踪算法设计[J].空天防御,2025,8(1):86-94,9.基金项目
国家自然科学基金资助项目(12104113) （12104113）
中国航天科技集团有限公司上海航天科技创新基金资助项目(SAST2022-011) （SAST2022-011）
水声技术全国重点实验室稳定支持计划资助项目(JCKYS2022604SSJS010) （JCKYS2022604SSJS010）
中央高校基本科研业务费资助项目(D5000230309,D5000230311) （D5000230309,D5000230311）
