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A novel adaptive learning method for low-sidelobe step frequency waveform designing

  • Yinsheng Wei*
  • , Siliang Yang
  • *Corresponding author for this work
  • Harbin Institute of Technology

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

Abstract

For a step frequency waveform, high range resolution can be achieved by inter-pulse sysnthesis processing and its sidelobe level can be controled by weighting in frequency domain. Howerver, high range sidelobe arise when the frequeuy steps is sparsely spaced. For this, low sidelobe can be obtained in two ways. One is by signal processing after receiving. And the other is to design the waveform with low sidelobe. In order to avoid the SNR loss, The latter is more effective. In this paper, a novel adatpive learning method is given. The method can adaptively adjust the frequencys by max sidelobe discrepancy between the matched filtering out of present and the ideal one. The result of simulation shows that it can approach the optimal frequencys for which the max sidelobe is lowest.

Original languageEnglish
Title of host publicationICSP2010 - 2010 IEEE 10th International Conference on Signal Processing, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2096-2099
Number of pages4
ISBN (Print)9781424458981
DOIs
StatePublished - 2010

Publication series

NameInternational Conference on Signal Processing Proceedings, ICSP
ISSN (Print)2164-5221
ISSN (Electronic)2164-523X

Keywords

  • Low-sidelobe
  • Step-frequency
  • Waveform design

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