基于功率估计的方位数据关联算法

Direction-Data Association Algorithm Based on Power Estimation

将功率信息与电波传播相关理论引入到测向交叉定位的数据关联问题中,提出一种基于功率估计的方位数据关联算法。推导了阵列协方差矩阵中信号功率与阵列流型之间的关系,利用空间协方差逆矩阵高阶幂逼近噪声子空间的方法,在已知阵列流型的基础上准确获取各目标的功率参数,避免了幅值特征类关联算法易受噪声与信号波形影响的问题;根据功率和传播路径的衰减关系,构造方位组合与功率信息的关联置信度函数,挑选出正确的关联组合。仿真结果表明了算法的有效性和优越性。

The power information and the theory of radio propagation are introduced to the direction data association in passive cross location system,a novel data association algorithm based on received signal power estimation is proposed.The relationship between array manifold and received signal strength of covariance matrix estimation is derived.The high order power of inverse spatial covariance matrix is used to approximate the signal subspace,and the received signal power is obtained under the condition of known signal directions,thus avoiding the amplitude-attribute data association algorithm＇s disadvantage caused by the uncertainty noise and signal wave.The confidence level of each cross location is computed by using the relationship between the received power and the propagation decay.Through this way,the correct association is selected from the set of candidates.The simulation results confirm feasibility and superiority of the proposed method.