幅度与频率联合测量的LOFAR浮标定位算法

LOFAR sonobuoy localization algorithm based on the measurements of amplitude and frequency

在LOFAR浮标应用中,为了在目标经过CPA点之前完成其运动参数的估计,提出了一种基于目标辐射噪声幅度和频率联合测量来计算单目标运动参数的无误差理论算法。使用3次等间隔的目标幅度及频率测量值,推导出无误差的目标特征频率、绝对速度、最接近点距离、辐射噪声幅度的理论公式。针对LOFAR实际使用特点,利用最小二乘估计理论提高了目标参数估计精度。计算机仿真表明,该算法在理论上是一个无误差的计算方法,空气模拟实验证明了该算法在工程实际使用中的可行性及有效性。

In order to estimate the motion parameters of the target before it passes by the CPA （closest point of approach） in the application of the LOFAR （low-frequency acquisition and ranging） sonobuoy, an unbiased estimation method is proposed, which can estimate the motion parameters of the single target using the amplitude and frequency of its radiated noise. For deriving the theoretical formulas for the parameters like the characteristic frequency, absolute speed, CPA and radiated noise amplitude, three measurements of amplitude and frequency that are evenly spaced in the range are used. With consideration to the characteristics of the practical application of LOF AR, the least squares estimation theory was used to enhance the accuracy of the target parameter estimation. The computer simulation results indicate that this method is an unbiased estimation algorithm in theory and the air experiment demonstrates the practicability and effectiveness of this method for use in engineering practice.