Research and implementation of dechirp pulse compression processing algorithm

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

Abstract

In the processing of digital pulse compression for wideband LFM (Linear Frequency Modulation) signal, the dechirp algorithm can effectively reduce the sampling frequency and then reduce the pressure upon following signal processing and storage. By means of theoretical simulations, this paper analyses how to choose the sampling frequency for dechirp pulse compression system, and demonstrates the factors affecting dechirp performance- sampling frequency, time delay and imbalanced SNR. Besides, we implement a dechirp algorithm on FPGA platform and provide a reference of how to choose signal bandwidth, sampling frequency and the appropriate digital pulse processing method in the design of radar system.

Original languageEnglish
Title of host publication2010 International Conference on Computational Problem-Solving, ICCP 2010
Pages428-431
Number of pages4
StatePublished - 2010
Event2010 1st International Conference on Computational Problem-Solving, ICCP 2010 - Lijiang, China
Duration: 3 Dec 20105 Dec 2010

Publication series

Name2010 International Conference on Computational Problem-Solving, ICCP 2010

Conference

Conference2010 1st International Conference on Computational Problem-Solving, ICCP 2010
Country/TerritoryChina
CityLijiang
Period3/12/105/12/10

Keywords

  • Dechirp
  • LFM
  • Pulse compression
  • RMS
  • Sampling frequency

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