Real-time signal reconstruction method for time-interleaved acquisition system

Abstract

The invention discloses a real-time signal reconstruction method for a time-interleaved acquisition system, which comprises the following steps of: obtaining the estimated inhomogenous degree of sampling interval of each path subjected to K times of iteration by the minimum mean-squared iteration; self-adaptively acquiring the inhomogenous degree rn of the sampling interval of a time-interleaved acquisition system; obtaining an error component e (n) introduced by inhomogenous system time base; and then carrying out real-time signal reconstruction. The method overcomes the defects that the conventional parallel sampling error correction method is large in calculated amount and low in instantaneity and cannot track the changes of error parameters so as to meet the real-time requirements forthe application in engineering. The method is a time-domain analysis-based signal reconstruction method which is more suitable to be applied in engineering, and has the advantages of greatly reducingthe amount of arithmetical operation, and achieving a good effect; meanwhile, the method is very practical in the engineering of the design on the high-speed time-interleaved acquisition system, and has a high popularization value.

Description

technical field The invention relates to a signal reconstruction method, in particular to a real-time signal reconstruction method of a time-alternating acquisition system. Background technique With the continuous development of electronic information technology, the strong dependence on real-time sampling rate has become the bottleneck of modern time domain measuring instruments. The research on analog-to-digital conversion technology (ADC) is restricted by factors such as materials and chip technology, which limits the rapid improvement of its technical indicators. Under the existing conditions, adopting parallel time-alternate sampling structure is still the only way to rapidly improve the real-time sampling rate of the system. The parallel time-alternating acquisition system uses M-chip ADCs to sample the input analog signal in parallel and successively at the same sampling rate, and the back-end reorganizes the sampling values ​​of each ADC according to a certain rule...

AI Technical Summary

Problems solved by technology

However, parallel time-alternating sampling introduces a new problem: due to the inconsistency of the sampling clock delay error among M channels, the actual sampling is non-uniform, which seriously degrades the system compared to the unnecessary phase modulation of the sampled signal. The spurious-free dynamic range and the actual signal-to-noise ratio of the

The traditional signal reconstruction method needs to generate M tiny amounts of time in the time-alternating acquisition system to correct the sampling clock, which not only makes the circuit added to the system to correct the time base error too complicated, but also has a large amount of calculation and cumbersome design, which is harmful to the system. Performance has a big impact

At the same time, because in practical applications, the time base error will change with the ambient temperature and the aging of the ADC device, the traditional method needs to be redesigned to achieve signal reconstruction, the efficiency is low, and it is difficult to meet the real-time requirements of the high-speed acquisition system