Inhalt anspringen

Multi-Target Doppler Ambiguity Identification for a PMCW Automotive Radar System

Schnelle Fakten

  • Interne Autorenschaft

  • Weitere Publizierende

    Moritz Kahlert, Junus Hirner, Claas Tebruegge, Markus Gardill

  • Veröffentlichung

    • 2023
  • Sammelband

    Multi-Target Doppler Ambiguity Identification for a PMCW Automotive Radar System (2023 31st European Signal Processing Conference (EUSIPCO))

  • Organisationseinheit

  • Fachgebiete

    • Kommunikations- und Informationstechnik
  • Format

    Konferenzpaper

Zitat

M. Kahlert, T. Fei, J. Hirner, C. Tebruegge, and M. Gardill, “Multi-Target Doppler Ambiguity Identification for a PMCW Automotive Radar System,” in 2023 31st European Signal Processing Conference (EUSIPCO), 2023, pp. 795–799.

Abstract

For the detection of weak and strong targets a high dynamic range in the range correlation processing of a phase-modulated continuous wave (PMCW) radar system is desired. However, the Doppler frequency shift can impair the received signal, resulting in a decreased peak-to-sidelobe ratio (PSR). The Doppler impact can be counteracted by utilizing the velocity information obtained in the current measurement cycle. However, this velocity information can be ambiguous. This paper presents a novel algorithm for addressing this velocity ambiguity issue in a multi-target scenario for a PMCW radar system. The main lobe power is used as a feature to resolve the velocity ambiguity, allowing for correct compensation of the phase progression in the range profile. The feasibility of the proposed algorithm is demonstrated in a simulated environment.

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