关于水声换能器的信号仿真 About modeling and simulation of hydroacoustic transducers

本人课题准备根据水声换能器的发射响应仿真信号通过换能器的数据，把水声换能器看成一个线性系统，把发射电压响应看成换能器的频率响应。建立频率响应模型，进行非线性优化。现在的问题是选择合适的算法进行最优化模型的拟合，第二个问题是有没有别的方法对根据发射电压响应，生成信号通过换能器的仿真数据。非线性优化的模型和数据都在附件中。

In my project, I intend to use the hydroacoustic transducer as a linear system and the transmit voltage response as the frequency response of the transducer based on the simulated signal of the hydroacoustic transducer's emission response. A frequency response model is established for nonlinear optimization. The question now is to choose the appropriate algorithm for fitting the optimal model, and the second question is whether there is another way to generate simulation data that generates a signal through the transducer according to the response of the transmitted voltage. The model and data for nonlinear optimization are in the attachment.

Answer 1

[Dinesh]

Hi!

You can use the following functions in the MATLAB to do nonlinear optimizations.

1. fmincon: Find minimum of constrained nonlinear multivariable function.
2. fminunc: Find minimum of unconstrained multivariable function.
3. genetic algorithm

Please refer to the following MATLAB documentation for more details

1. https://www.mathworks.com/help/optim/ug/fmincon.html
2. https://www.mathworks.com/help/optim/ug/fminunc.html
3. https://www.mathworks.com/help/gads/constrained-minimization-using-ga.html

Some useful tools for generating simulated data from existing data sets are randsample and bootstrp.

Please read the following MATLAB documentation for more details about the functions

1. https://www.mathworks.com/help/stats/randsample.html
2. https://www.mathworks.com/help/stats/bootstrp.html

Hope this helps,

Thank you.