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| Near-field Airspeed Estimation Based on MUSIC Algorithm |
| YU Fei1,2,TAO Jian-wu2,ZENG Bin1,QIAN Li-lin2 |
1.Department of Control Engineering, Naval Aeronautical and Astronautical University, Yantai, Shandong 264001, China;
2.Department of Aircraft Control Engineering, Aviation University of Air Force, Changchun, Jilin 130022, China |
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Abstract 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.
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2015, Vol. 36 
