考虑相位噪声影响的单阵元被动合成阵列算法

Passive synthetic array algorithm using single sensor with phase noise effects

考虑到现有单阵元被动合成阵列算法对阵元的运动模型假设过于理想且对相位噪声的适应能力不足,首先,提出一种适用于阵元任意机动方式的单阵元被动合成阵列通用算法,进而通过相位噪声模型分析,给出最大相参时间及有效合成阵元数的选取方法,重建了合成阵列的流形矢量,得到了与相位噪声模型相匹配的改进算法。然后,在相位噪声影响条件下,推导了单阵元被动合成阵列波达方向的理论估计方差下限。仿真分析表明,较未考虑相位噪声影响的算法,改进算法能够有效提高相位噪声影响下的单阵元被动合成阵列测向精度。

The existing passive synthetic array algorithms all make too ideal assumptions on the way of sensor moving and cannot endure the influence of phase noise very well. So the current research firstly presents a general processing algorithm of passive synthetic array. By carefully analyzing the phase noise model, a new estimation means of maximum coherence time and valid synthetic sensor number is proposed and then the steering vector of passive synthetic array is reconstructed. Furthermore, an improved passive synthetic array algorithm based on the phase noise model is presented. Considering the effect of phase noise, the theoretical lower bound on the variance of DOA estimate of passive synthetic array is given by deducing the Cramrr Rao Bound. Simulation results show that the proposed algorithm can enhance the precision of DOA estimate effectively comparing with the existing algorithm.