Title :
A new airspeed estimation method for supersonic flow
Author :
Zeng Bin ; Tao Jianwu ; Yu Fei ; Qian Lilin
Author_Institution :
Dept. of Control Eng., Aviation Univ. of Air Force, Chang Chun, China
Abstract :
In this paper, a new airspeed estimation near-field model is presented in supersonic flow with acoustic vector-sensor array. The data model is derived for the acoustic vector-sensor´s near-field with current drifting and a MUSIC-like algorithm is introduced to estimate the airspeed of supersonic flow. Simulation results show that the new estimator has an excellent performance.
Keywords :
acoustic signal processing; aerodynamics; sensor arrays; signal classification; supersonic flow; MUSIC-like algorithm; acoustic vector-sensor array; acoustic vector-sensor near-field; airspeed estimation method; airspeed estimation near-field model; current drifting; data model; supersonic flow estimation; Acoustics; Atmospheric modeling; Estimation; Sensor arrays; Vectors; MUSIC-like algorithm; acoustic vector-sensor array; airspeed estimation; supersonic flow;
Conference_Titel :
Signal Processing, Communication and Computing (ICSPCC), 2013 IEEE International Conference on
Conference_Location :
KunMing
DOI :
10.1109/ICSPCC.2013.6663889
