Effective path-loss compensation model based on multipath exploitation for through-the-wall radar imaging

Florian Mkemwa, Abdi T. Abdalla, Baraka Maiseli*, Idrissa Amour, Ali Muqaibel

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Through-the-wall radar imaging (TWRI) has attracted a great deal of attention in several sensitive applications, including rescue missions and military operations. Notwithstanding its broad range of applications, TWRI suffers from path-loss because distant targets experience more attenuation of signal power than those closer to the transceiver. This challenge may lead to missed targets with important information necessary for analysis and informed decision making. Responding to the challenge, we have developed a signal model with an effective path-loss compensator incorporating a free space exponent. Furthermore, multipath exploitation and compressive sensing techniques were employed to develop an effective algorithm for isolating residual clutter that may corrupt real targets. The proposed signal model integrates contributions from the front wall, multipath returns, and path-loss. Compared with the state-of-the-art model under the same experimental conditions, simulation results show that the proposed model achieves improved signal-to-clutter ratio, relative clutter peak, and probability of detection by 13.1%, 17.4% and 33.6%, respectively, suggesting that our model can represent the scene more accurately.

Original languageEnglish
Article number42
JournalEurasip Journal on Advances in Signal Processing
Volume2023
Issue number1
DOIs
StatePublished - Dec 2023

Bibliographical note

Publisher Copyright:
© 2023, The Author(s).

Keywords

  • Compressive sensing
  • Multipath exploitation
  • Path-loss compensator
  • Through-the-wall radar imaging

ASJC Scopus subject areas

  • Signal Processing
  • Hardware and Architecture
  • Electrical and Electronic Engineering

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