Research On Optimization Algorithm Of High Precision Synchronous Sampling

With the rapid modern digital signal processing technology development, Developed the data acquisition instrument with high speed and precision has become a trend in many fields such as intelligent instrument?communication and radar. On the one hand, the high-end data acquisition instrument realized by the hardware at present, On the other hand, it requires a special digital signal processing algorithm, in order to establish proper algorithm model, processing the original sampling signal effectively, it's the key to acquire the high precision signal.The article mainly from the point of algorithm analysis for the study of High-end data acquisition method. For the multi-channel synchronous sampling system. According to the synchronization precision and sampling precision demand. The research goal is to design a set of optimal filtering algorithm, To realize one over ten thousand of the original signal sampling precision. To the channel mismatch errors between synchronous sampling system. Proposed sinusoid fitting method and comprehensive correction algorithm. Realize the mismatch error correction and compensation to improve the real-time and synchronization of sampling system. The main work of this paper is divided into three aspects.(1)On the base of deep investigation in design scheme of the high precision synchronous sampling system and optimization algorithm. The Multi-channel synchronous sampling ADC system based on FPGA, which is the core of the system is designed. Optimization algorithm designing scheme is proposed.The scheme used MATLAB to realize the algorithm simulation.(2)Then focus on the design of high precision sampling optimization algorithm. Proposed two-stage filter optimization algorithm solutions. Based on the ERFRS and DTAP algorithm, corresponding improvement and optimization. Proposed fusion evaluation algorithm base on the optimal loop iteration. To realize operations such as noise-reduction?the characteristics of mining and processing the different values. The second-level filtering algorithm implementation mismatch error correction of compensation. Analysis the three mismatch errors between the channels in details, including the gain error?offset error and timing-skew error's characteristic and the advantages and disadvantages of the traditional. Set up the error correction algorithm model on this basis. Proposed mismatch error compensation algorithm based on pre treatment. Choose the corresponding correction model based on sine fitting pretreatment for error parameters. The algorithm through IFFT spectrum reconstruction, spectrum method error of expectation and multi-speed filter group to realize SFDR correction, completed mismatch error compensation.(3)Simulated the proposed algorithm based on MATLAB simulation platform, analyzed through the experiment and performance parameter of data of the treatment effect, and then contrast the algorithm proposed in this paper with the existing algorithm. verify the feasibility and reliability of the algorithm.