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| Single Snapshot Airspeed Estimation Based on Sparse Covariance Matrix Iteration |
| Yu Fei①② Tao Jian-wu② Chen Cheng③ Qian Li-lin② |
①(Department of Control Engineering, Naval Aeronautical and Astronautical University, Yantai 264001, China)
②(Department of Aircraft Control Engineering, Aviation University of Air Force, Changchun 130022, China)
③(94638 Department, Nanchang 330201, China) |
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Abstract The issue of single snapshot airspeed estimation is researched based on acoustic sensor array. According to the propagation property of acoustic waves in subsonic and supersonic air current, the output model of acoustic sensor array is constructed for a given measuring equipment. Then an airspeed estimation algorithm based on Sparse Covariance Matrix Iteration with a Single Snapshot (SCMISS) is presented. SCMISS has several unique features not shared by other sparse estimation methods: it does not require the user to make any difficult selection of regularization parameters, and it has lower computational complexity and better real-time. What is more, the proposed algorithm can be applied to both subsonic and supersonic circumstances with single snapshot measurement. Finally, a compact expression for the Cramér-Rao Bound (CRB) on the estimation error of airspeed is derived to evaluate the performance of the proposed algorithm. Simulations are implemented to show the effectiveness of SCMISS.
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Received: 21 May 2014
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Corresponding Authors:
Yu Fei
E-mail: yufei19871128@163.com
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2015, Vol. 37 
