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UUV靶场试验非同步水下被动声学跟踪算法

Algorithm of Underwater Passive Target Tracking and Experimental Research Based on Asynchronous Beacon in UUV Range Test
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摘要 在无人水下航行器(UUV)正式投入使用前,需要一系列的海上考核与验收,传统的合作式目标水下测量方法不利于远距离目标航行轨迹的监测。该文提出了一种新的靶场UUV水下跟踪方法,利用全球定位系统(GPS)确定初位置,并利用UUV上的固定连续声学发射频率信息,采用伪线性Kalm an滤波进行UUV运动状态参量估计,对UUV进行了跟踪,给出了运动状态跟踪算法,并进行了仿真研究,研究结果表明,该方法可以很好地跟踪水下UUV的运动轨迹。 Conventional cooperative underwater measuring method is not sufficient for long-range monitoring of trace in the evaluation and acceptance trial of unmanned underwater vehicle(UUV).We present a new method by obtaining initial position and frequency information which are derived from the global positioning system(GPS) and acoustical transmitter of UUV to estimate UUV motion state parameters with PLE-Kalman algorithm.A tracking algorithm of motion state is proposed by following UUV trace.Simulation results show that the present method can track underwater motion trace of UUV perfectly.
出处 《鱼雷技术》 2010年第2期109-111,共3页 Torpedo Technology
关键词 无人水下航行器(UUV) 靶场试验 伪线性Kalman滤波 参量估计 水下测量 跟踪算法 unmanned underwater vehicle(UUV) range test PLE-Kalman filter parameter estimation underwater measuring tracking algorithm
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参考文献5

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