声参量阵在测风速中应用研究

摘要

The signal pretreatment algorithm of acoustic parametric array wind speed test system is to generate two difference frequency carrier signals. The two signals via nonlinear interaction of self-demodulated to gain original signal in the air. Then make the two signals that received from microphone arrays through the PHAT weighted generalized cross correlation algorithm to estimate the time delay, and we calculate the wind speed by measure the time difference of the two signals. Preprocess the audio signal by the commonly used pretreatment algorithms, then the signals self-demodulation in the air to get parametric acoustic array signals and we analysis the results by MATLAB simulation. After the simulation analysis, full carrier SSB modulation algorithm got the highest precision of measured time, so full carrier SSB modulation algorithm is best suit for acoustic parametric array wind speed test system to preprocessing signal,we designed the acoustic parametric array wind speed test system, and the feasibility of the testing system is proved by experiments.%声参量阵测风速系统中的信号预处理算法的目的是生成两个具有频率差的载波信号，两信号在空气中通过非线性交互作用自解调出原信号。然后对两个传声器阵列接收到的该信号通过PHAT加权的广义互相关算法进行时延估计，得到两列信号的时间差来测得风速。通过对常用的预处理算法对音频信号进行预处理，用其在空气中自解调出来的声参量阵信号进行广义互相关算法，并对其进行MATLAB仿真分析，比较几种调制算法测得时间差的精度。经过仿真对比分析知全载波单边带调制算法预处理测得的时间差精度最高，因此全载波单边带调制算法最适合对声参量阵测风速中的信号进行预处理，在此基础上设计了声参量阵测风速系统，通过实验对比证明了声参量阵测试系统的可行性。