A new type of rocket engine ground sensing and test system based on compressive sensing

This paper intends to solve the undersampling problem in the rocket engine experimental data sampling process. It starts with an overview of rocket engine experimental data sampling process fundamentals and the compressive sensing theory, including the sparse representation, the measurement matrix and the reconstruction algorithms. An abecedarian research centering on the pressure signal generated in the combustion chamber instable combustion model is used to explore basic procedures of processing both pure and noisy signal under the framework of compressive sensing, the analysis of the signal sparsity and the design of reconstruction algorithms. Numerical experiments verify the possibility and feasibility of compressive sensing in processing rocket engine experimental data. Finally, a new type of rocket engine ground sensing and test system and its hardware implementation are introduced.