Research On Implementation Of Compressive Sensing

It requires more than twice of the highest frequency of a signal to sample the signal by using the analog-to-digital converter (ADC) traditionally, which is waste of time and storage. The new theory of compressive sensing enables direct analog-to-information conversion of compressible signals at sub-Nyquist acquisition rates. It is an innovation of the way for signal acquisition. At present, many research interests for compressive sensing are mainly concentrated on the performance analysis for the sensing matrix and optimization of reconstruction algorithms. However, the physical implementation of compressive sensing is still in the initial stage, which resulted in a gap between theoretical study and practical application. It is very important and critical to propose a, method which is hardware-friendly and easy to implement for compressing sensing. The physical implementation of compressive sensing is a bridge connecting the theory with applications. Therefore it is very urgent to carry out research on this area. The main contributions of this paper are as follows:1. Given a pre-processing method for signal which is suitable for compressive sensing, which is suitable for sensing rapidly and reconstruction accuracy.2. Analysis and realization are complemented for compressive sensing based on AIC (analog-information-conversion) system. Firstly, the performances of the AIC system are analyzed and improved through more precise description of the physical parameters. And then an equivalent matrix of AIC acquisition system for signal reconstruction is synthesized. Finally, a simulation is done to verify the whole process of compressive sensing.3. In accordance with the specific requirements of sensing matrix, a sensing matrix is derived from the hadamard matrix. An analog structure of compressive sensing based on random hadamard matrix is given, and then the feasibility of the structure is simplydemonstrated.