Abstract:

A novel airspeed measuring method is proposed. According to the concept of effective sound velocity in the field of〖JP〗 atmospheric acoustics, the nearfield output model of acoustic vector sensor array is constructed in a stable air flow. Then a multiple signal classification algorithm for airspeed estimation (MUSICASE) is presented, which can be used to estimate the airspeed with a high degree of accuracy. To reduce the computational complexity, a fast airspeed estimation (FASE) algorithm is addressed. Though the estimation accuracy is not so high as the MUSICASE algorithm, the FASE method enable to avoid spectral peak search, and must be more stronger than the MUSICASE algorithm in realtime. Finally, the performance of the proposed algorithms is analyzed, and a compact expression for the CramérRao bound on the estimation error of the airspeed is derived. Computer simulations are implemented to verify the efficacy of the proposed algorithms.