基于MUSIC算法的近场空速估计

研究了基于声矢量传感器阵列的近场空速估计问题。首先,在声矢量传感器近场阵列输出模型的基础上,考虑声波在连续、均匀稳定气流中的传播原理,构建了稳定气流作用下近场质点振速测量模型,模型导向矢量中包含了待估计的空速信息。在此基础上,提出了一种近场空速估计的MUSIC算法,为评价算法估计性能,推导了空速估计的克拉美-罗界表达式。仿真实验验证了算法的有效性。

Near-field Airspeed Estimation Based on MUSIC Algorithm

The problem of near-field airspeed estimation is researched based on acoustic vector sensor array. According to the propagation principle of acoustic waves in a continuous, uniform and stable air flow, the acoustic particle velocity measurement model based on the near-field output model of acoustic vector sensor array is constructed. The airspeed knowledge of interest is included in the steering vector of the proposed measurement model. Then a multiple signal classification algorithm for airspeed estimation is presented. To evaluate the performance of the proposed algorithm, a compact expression for the Cramér-Rao bound on the estimation error of the airspeed is derived. Simulation results are shown to verify the efficiency of the proposed algorithm.