Method and device for filtering high-speed sampling signal in real time based on digital signal processor (DSP)

Abstract

The invention discloses a method for filtering a high-speed sampling signal in real time based on a digital signal processor (DSP). The method comprises the following steps of: partitioning data of a frame of high-speed sampling signal for the first time; storing the data which are partitioned for the first time into a ping-pong buffer, re-partitioning the data in the ping-pong buffer to obtain data micro elements, and sequentially filtering the data micro elements; by taking a final state of each of the filtered data micro elements as an initial state of the next data micro element during filtration, continuously outputting the filtered data micro elements; and according to group delay, generating a string of zero values after all data micro elements are filtered, and outputting trailing data. The invention also discloses a device for filtering the high-speed sampling signal in real time. By the embodiment of the invention, the memory usage amount of the DSP can be reduced, computation amount is reduced, and operation delay is shortened.

Description

technical field [0001] The present invention relates to the field of communication technology, more specifically, to a method and device for real-time filtering of high-speed sampling signals based on DSP. Background technique [0002] The real-time filtering of high-speed sampling signals adopts the following method, that is, the digital intermediate frequency filter processes high-speed sampling information in a programmable gate array (FPGA) platform or an application-specific integrated circuit (ASIC) platform. Or use a digital signal processor (DSP) with high performance and large storage capacity to realize real-time filtering of high-speed sampling signals. [0003] In the digital IF filter structure, two storage areas are opened when receiving data, one storage area is called a ping buffer, and the other storage area is called a pong buffer. The received data is first stored in the ping buffer for processing, and then the processed data is stored in the pong buffer....

AI Technical Summary

Problems solved by technology

In DSP, the larger the data block, the greater the delay, and the corresponding increase in the required storage space; although the reduction of the data block can effectively reduce the delay and the required storage space, it needs to pay the increased amount of calculation. The cost affects the real-time processing

[0006] In summary, the FPGA platform or ASIC platform using digital intermediate frequency filtering, and the DSP with low performance and small storage capacity have the problem of prolonging the operation time or large amount of calculation.

Images