FPGA Implementation of Pulse Compression in Time Domain

Yu Chen, Fang Han, Xiaoran Li*, Zicheng Liu, Xinghua Wang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper presents a signal processing flow based on the time-domain pulse compression algorithm, consisting of three parts: theoretical introduction, MATLAB simulation, and FPGA verification. First, after simulating the echo signal, the time-domain waveform and parameters of the matched filter coefficients are saved during MATLAB simulation. Then, VIVADO uses the ROM core to read the file and the DDS core to generate the local oscillator signal required for down-conversion. Once down-conversion is done, passes the two signals through low-pass filters separately, and finally performs time-domain pulse compression and modulus calculation. In terms of this paper, replacing most of the self-programming with instantiated IP cores has the advantages of greatly simplifying the code and improving the maintainability of the flow. Moreover, implementing pulse compression with time-domain methods has advantages over frequency-domain methods, such as reducing compilation time and saving resource consumption. Results of simulation and test represent that the signal processing flow based on the time-domain pulse compression algorithm is consistent with theoretical expectations and is suitable for processing echo signals with relatively low intermediate frequency.

Original languageEnglish
Title of host publicationSignal and Information Processing, Networking and Computers - Proceedings of the 11th International Conference on Signal and Information Processing, Networking and Computers ICSINC
Subtitle of host publicationVol. I
EditorsYue Wang, Jiaqi Zou, Zhilei Ling, Lexi Xu, Xinzhou Cheng
PublisherSpringer Science and Business Media Deutschland GmbH
Pages119-126
Number of pages8
ISBN (Print)9789819721153
DOIs
Publication statusPublished - 2024
Event11th International Conference on Signal and Information Processing, Network and Computers, ICSINC 2023 - Chengdu, China
Duration: 18 Sept 202322 Sept 2023

Publication series

NameLecture Notes in Electrical Engineering
Volume1186 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference11th International Conference on Signal and Information Processing, Network and Computers, ICSINC 2023
Country/TerritoryChina
CityChengdu
Period18/09/2322/09/23

Keywords

  • Digital signal processing
  • FPGA
  • Pulse compression

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Cite this

Chen, Y., Han, F., Li, X., Liu, Z., & Wang, X. (2024). FPGA Implementation of Pulse Compression in Time Domain. In Y. Wang, J. Zou, Z. Ling, L. Xu, & X. Cheng (Eds.), Signal and Information Processing, Networking and Computers - Proceedings of the 11th International Conference on Signal and Information Processing, Networking and Computers ICSINC: Vol. I (pp. 119-126). (Lecture Notes in Electrical Engineering; Vol. 1186 LNEE). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-97-2116-0_15