时空扩展MUSIC的空速估计算法

张晓光

doi:doi:10.3969/j.issn.1671-637x.2018.07.012

电光与控制, 2018, 25 (7): 58, 网络出版: 2021-01-20

时空扩展MUSIC的空速估计算法

Airspeed Estimation Based on the Temporal and Spatial Expansion MUSIC Algorithm

论文大纲

张晓光

作者单位

辽东学院, 辽宁丹东 110000

超音速气流空速估计声矢量传感器失效分析 supersonic flow airspeed estimation acoustic vector sensor MUSIC MUSIC failure analysis

摘要

针对基于声矢量传感器的空气流动速度(简称空速）测量问题，提出基于时空扩展MUSIC空速估计算法。首先，经过理论分析，得出在超音速气流形成的马赫锥内，任何一点有且仅有两个波阵面相叠加，这两个波阵面可以被认为是由两个相干“等效声源”产生的，在此项基础上，建立了声波在超音速稳定气流中的传播模型；其次，结合声矢量传感器的测量模型，基于时空扩展MUSIC算法实现超音速空速估计，并对测量模型进行了失效分析，推导了估计的CRB界；仿真实验结果验证了算法的有效性。

Abstract

To address the issue of airspeed measurement based on the acoustic vector sensor, an airspeed estimation algorithm based on the temporal and spatial expansion MUSIC algorithm is proposed. Firstly, it is concluded by theoretical analysis that only two wavefronts are superimposed at any point in the Mach cone formed by the supersonic flow, and that the two wavefronts can be considered to be created by two coherent “equivalent sound sources”.On this basis, the distribution model of the sound wave in the supersonic steady flow is built. Then, by employing the measurement model of the acoustic vector sensor, the supersonic airspeed estimation is realized based on the temporal and spatial expansion MUSIC algorithm. A failure analysis of the measurement model is carried out, and the estimated CRB bound is derived. The simulation results verify the effectiveness of the proposed algorithm.

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张晓光. 时空扩展MUSIC的空速估计算法[J]. 电光与控制, 2018, 25(7): 58. ZHAO Xiaoguang. Airspeed Estimation Based on the Temporal and Spatial Expansion MUSIC Algorithm[J]. Electronics Optics & Control, 2018, 25(7): 58.

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