基于小波神经网络的船舶航迹盲区补偿方法  

A Compensation Method for Blind Area of Ships Track with Wavelet Network

作　　者：王贵恩[1] 孙永林[1] 吴晶[1] 

机构地区：[1]广东交通职业技术学院,广东广州510800

出　　处：《通信技术》2009年第1期236-238,共3页Communications Technology

基　　金：广东省交通厅科技项目(编号:2005-12)

摘　　要：本文利用小波神经网络实现内河船舶GPS/GPRS导航跟踪航迹的盲区补偿。本算法采用神经网络的并行处理方法,结合小波权值分解,实现高精度的在线航迹盲区补偿。仿真和实际测试结果显示,采用本算法进行航迹盲区补偿,目标的运动轨迹是连续的,在线航迹盲区补偿精度高,实时测误跟踪准确。A compensation method with wavelet neural network is applied for blind area of ships track by the GPS/GPRS navigation system. This method employs parallel process with neural network and combines exponent analysis of wavelet to predict ships track on line precisely. The simulation and test results indicate that the system possesses a continuous target track, could precisely precise predict the blind spot on line and is accurate in real-time detection.

关 键 词：航迹盲区 补偿方法 小波神经网络 内河船舶 

分 类 号：TN957[电子电信—信号与信息处理]