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基于粒子滤波算法的方位跟踪方法研究 被引量:3

Research on DOA tracking technique based on particle filter algorithm
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摘要 与传统的声压水听器相比,矢量水听器(AVS)可以同时、共点接收水下声场的声压和振速信息,利用单个水听器可以估计出目标的方位(DOA)信息。本文将MUISIC方位估计方法和粒子滤波(Particle Filtering,PF)跟踪方法结合,给出一种高效的水下运动目标的实时方位跟踪方法(PF-MUSIC),仿真对比分析了MUSIC方法和PF-MUISC方法的方位跟踪性能,并通过海上试验验证了跟踪方法的实用性。结果表明:PF-MUSIC法的计算量远小于MUSIC方法,PF-MUSIC方法的误差更小并且跟踪曲线更平滑,适用于对水下目标的实时方位跟踪。 Compared with the traditional sound pressure sensor,the AVS can simultaneously and totally receive the sound pressure and vibration velocity information of underwater sound field.Using a single hydrophone can estimate the DOA information.In this paper,the MUISIC method of azimuth estimation is combined with PF tracking method (PF-MU- SIC).We present an efficient real-time bearing tracking method (PF-MUSIC)for underwater targets.The DOA tracking performance of MUSIC method and PF-MUISC method is compared and analyzed through simulation.The practicability of the tracking method was verified by offshore experiments.The results show that the computational complexity of the PF-MUISC method is much smaller than that of the MUSIC method.The error of PF-MUSIC method is smaller and the tracking curve is smoother.It is suitable for real-time azimuth tracking of underwater targets.
作者 周彤 宋立臣 ZHOU Tong;SONG Li-chen(Dalian Scientific Test and Control Technology Institute,Dalian 116013,China)
出处 《舰船科学技术》 北大核心 2018年第11期134-138,共5页 Ship Science and Technology
关键词 粒子滤波 单矢量水听器 方位跟踪 particle filtering acoustic vector sensor DOA tracking
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