Joint design of radar transmit waveform and mismatched filter with low sidelobes

Yang Jing, Junli Liang, Sergiy A. Vorobyov, Xuhui Fan, Deyun Zhou

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

11 Downloads (Pure)


The paper focuses on joint design of transmit waveform and mismatched filter to achieve low sidelobe level for improving the resolution of pulse compression (PC). An Lp-norm, p = 1, of the power ratio of sidelobe to mainlobe levels is used in the corresponding PC optimization problem as a metric. The use of Lp-norm minimization contains as special cases the integrated sidelobe level and peak sidelobe level (PSL) minimization problems which corresponds to specific selections of different p values. The main contribution of this work is the development of a new iterative algorithm to solve the aforementioned optimization problem. It is based on using Dinkelbach's scheme together with majorization minimization method. The computational complexity of the proposed algorithm is also analyzed. Numerical examples demonstrate that waveforms and mismatched filters designed by using the proposed method produce lower PSL than the existing counterparts.

Original languageEnglish
Title of host publication28th European Signal Processing Conference, EUSIPCO 2020 - Proceedings
Number of pages5
ISBN (Electronic)9789082797053
Publication statusPublished - 2020
MoE publication typeA4 Article in a conference publication
EventEuropean Signal Processing Conference - Amsterdam, Netherlands
Duration: 24 Aug 202028 Aug 2020

Publication series

NameEuropean Signal Processing Conference
ISSN (Print)2219-5491
ISSN (Electronic)2076-1465


ConferenceEuropean Signal Processing Conference
Abbreviated titleEUSIPCO


  • Dinkelbach algorithm
  • Majorization minimization
  • Receive filter
  • Sidelobe levels
  • Transmit waveform

Fingerprint Dive into the research topics of 'Joint design of radar transmit waveform and mismatched filter with low sidelobes'. Together they form a unique fingerprint.

Cite this