DESIGN OF MISMATCHED FILTER WITH GOOD DOPPLER TOLERANCE VIA MAJORIZATION MINIMIZATION

Hao Zhang, Yuanshuai Li, Shaoqiang Chang, Yuanyuan Song*

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

Abstract

The issue of Doppler sensitivity in phase-coded signals is a significant factor that leads to performance degradation in radar detection. To mitigate the sidelobes caused by Doppler shifts, we present an algorithm that converts the optimization problem into a quadratic constrained quadratic programming (QCQP) problem via Majorization Minimization (MM), allowing for solution by analysing the Karush-Kuhn-Tucker (KKT) conditions. The key steps of the algorithm are implemented through Fast Fourier transform (FFT), ensuring efficient computational performance. Numerical results demonstrate that our proposed algorithm outperforms the software-based algorithm in terms of both sidelobe suppression and computational efficiency.

Original languageEnglish
Pages (from-to)2302-2306
Number of pages5
JournalIET Conference Proceedings
Volume2023
Issue number47
DOIs
Publication statusPublished - 2023
EventIET International Radar Conference 2023, IRC 2023 - Chongqing, China
Duration: 3 Dec 20235 Dec 2023

Keywords

  • DOPPLER TOLERANCE
  • MAJORIZATION MINIMIZATION
  • MISMATCHED FILTER

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Zhang, H., Li, Y., Chang, S., & Song, Y. (2023). DESIGN OF MISMATCHED FILTER WITH GOOD DOPPLER TOLERANCE VIA MAJORIZATION MINIMIZATION. IET Conference Proceedings, 2023(47), 2302-2306. https://doi.org/10.1049/icp.2024.1445