一种新的子空间跟踪方法在DOA估计中的应用

介绍了一种新的子空间跟踪方法(双迭代最小二乘(Bi—LS)子空间跟踪方法)在DOA估计中的应用。特征子空间方法的关键是对信号或噪声子空间的估计。在实际中，有些信号的统计特性是时变的，为得到参数的即时估计值，需要随时根据新的阵列接受数据对信号或噪声子空间进行更新。将Bi—LS子空间跟踪算法和自适应ESPRIT算法相结合，形成一种快速递推的自适应ESPRIT算法，对时变信号DOA进行跟踪估计。其计算复杂度小，仿真结果验证了该算法的有效性。

Application of a New Subspace Tracking Method in the DOA Estimation

An application that a new subspace tracking method is used to estimate the DOA of impinging signals placed in a plane is introduced.The key problem of traitsubspace methods is the estimation of signal or noise subspace.In practical situations,the exist signals whose statistic characteristics always change over time.To obtain the realtime estimates of signal parameters which are timevarying,it is necessary to update the signal or noise subspace according to newly received array sampled output.With combination of the new subspace tracking method with adaptive ESPRIT algorithm,a fast recursive adaptive ESPRIT algorithm is presented to track the timevarying DOAs.The principal complexity of this fast algorithm is low.Computer simulation results show the fast algorithm is effectiveness.