A 3D Acoustic Temperature Field Reconstruction Algorithm Based on Tikhonov Regularization

摘要

A new 3D temperature field reconstruction algorithm based on Tikhonov regularization is proposed. A space surrounded by 32 acoustic sensors is divided into pixels. Four typical temperature field models are reconstructed using the new algorithm for verifying its reconstruction ability. The influence of regularization parameter on detail reconstruction and anti-noise ability are investigated. 3D displays of reconstructed temperature fields and reconstruction errors are given, which shows that the new algorithm is good at reconstructing complex fields.