DIFAR浮标反正切目标方位估计方法

DIFAR浮标是一种被动定向声纳浮标,广泛应用于目标的初始定位。它由一个全向水听器和一对正交偶极子组成。正交偶极子提供的指向性信息使其可以对目标进行方位估计。介绍了DIFAR浮标利用反正切方法对目标进行方位估计的方法。采用自适应线谱增强技术提高DIFAR浮标信号的信噪比。用反正切法估计目标的方位。给出了用LOFAR谱图和B-Scan图显示DIFAR浮标数据的方法。并给出了方位估计误差的解析表达。仿真结果表明,在相同信噪比下利用该方法得到的角度的方差小,满足DIFAR浮标的要求,提高了浮标的定位精度。     

一种新的双DIFAR浮标目标定位方法

为了提高双DIFAR浮标的定位精度,提出一种新的基于扩展卡尔曼滤波的双DIFAR浮标目标参数估计与跟踪算法。建立目标与浮标的数学运动模型及坐标系,推导出目标状态方程及观测方程,最后确定了滤波初始状态值及初始协方差矩阵。仿真结果表明,使用卡尔曼滤波技术,成功实现了目标参数估计与跟踪的任务。该算法与经典算法相比,跟踪精度更高,同时可以直接计算出目标速度及航向。     

DOA estimation based on fourth order cumulant beamforming for nonuniform linear array of DIFAR sonobuoys

The Directional Frequency Analysis and Recording (DIFAR) sonobuoy has been widely used in underwater target localization because it can capture more information than the Low Frequency Analysis and Recording (LOFAR) omnidirectional sonobuoy. Recently, array processing for fields of DIFAR sonobuoys has attracted considerable attention in order to enhance the direction of arrival (DOA) estimation performance and accuracy. DIFAR sonobuoys may become irregularly spaced due to the deployment method and the drift experienced once deployed, resulting in a nonuniform array. In this paper, we demonstrate the fourth-order cumulant beamforming (FOC-BF) technique to estimate the DOA for a nonuniform linear array of DIFAR sonobuoys. FOC-BF was compared with the conventional beamforming (CBF) through simulation works. The results show that FOC-BF provides better spatial spectrum with lower sidelobes than CBF. Furthermore, FOC-BF provides superior DOA estimation accuracy over CBF at very low signal to noise ratios (SNR).     

A New Single DIFAR Sonobuoy Target Location Algorithm

In order to solve the problem of target location of single direction finding and ranging(DIFAR) sonobuoy, a new target location algorithm is proposed. Based on the new generation of high performance sonobuoy signal processing platform, the new algorithm makes full use of the Doppler information of the targets while using the target location data, and successfully implements the target detection, location and tracking. In the calculation of target parameters, the new algorithm utilizes the repeated measurement data to further improve the calculation accuracy of the target parameters using the principle of Least Square. The simulation results indicate the correctness of the new algorithm. The algorithm is simple, stable and easily implemented in engineering. And besides, it overcomes the weakness of the traditional algorithm which requires at least two DIFAR buoys to locate the targets.     

基于扩展卡尔曼滤波的DIFAR浮标阵定位算法及分析

提出一种基于扩展卡尔曼滤波的DIFAR(Direction Finding and Ranging)浮标阵目标跟踪算法。首先,建立了目标与浮标的数学运动模型及坐标系,然后推导出目标状态方程及观测方程,确定了滤波初始状态值及初始协方差矩阵。仿真结果表明,以测量目标方位和频率作为输入信息,使用卡尔曼滤波技术,在测向方位误差均方差5°,测频误差均方差0.1 Hz情况下,成功完成了目标参数估计任务。最后针对三种典型的浮标布防阵形进行了大量仿真,分析了三种阵形的参数估计性能,讨论了三种阵形的优缺点。