基于小波变换的双站纯角度机动目标融合跟踪

Fusion Tracking for Maneuvering Targets with Wavelet Transform Using Bearings-Only Measurements of Two platforms

纯角度跟踪通常面临非线性滤波和高速率量测数据处理问题。在小波变换的基础上提出一种新的双站纯角度机动目标跟踪算法。该算法使用无源定位的方法确定目标位置,并运用基于多速率运动模型的交互式多模型算法进行滤波。算法避免了角度量测下的非线性滤波,并减少了计算量。Monte Carlo 仿真结果表明了算法的有效性。

Bearings-only tracking usually faces two difficulties, nonlinear filtering and high-rate measurements processing. It is presented a novel fusion tracking algorithm based on wavelet transform for tracking maneuvering target using bearings-only measurements of two platforms. In the algorithm, Passive location method was first used to determine the coordinates in Cartesian coordinate system, and then interacting multiple model (IMM) algorithm based on multi-rate kinematic model was used to estimate the state of targets. The new algorithm can avoid nonlinear filtering and has less computational amount. Monte Carlo simulations show the efficiency of the new algorithm.