A Low-Complexity Denoising and Fine Estimation Algorithm for MIMO Radar

Su Y, Franchi N, Lübke M (2026)

Publication Type: Journal article

Publication year: 2026

Journal

IEEE Transactions on Radar Systems IEEE

Publisher: IEEE

City/Town: New York City

Pages Range: 1-1

DOI: 10.1109/TRS.2026.3677521

Abstract

This paper proposes a multiple-input multiple-output (MIMO) radar denoising and fine estimation (DFE) algorithm. The DFE algorithm enables fine parameter estimation and efficient cancellation of the detected reflection signals, thereby providing a cleaner range-Doppler map and mitigating the intertarget interference. Further, we introduce a code-space-orthogonal phase-modulated continuous waveform (CSO-PMCW) integrated sensing and communications (ISAC) system, which achieves much higher throughput than conventional PMCW while inheriting its advantages in radar and anti-interference performance. The DFE algorithm is integrated into the CSO-PMCW system, and its applicability to other radar waveforms is explained. Simulation results demonstrate that the DFE algorithm can achieve at least a tenfold improvement in range, velocity, and angular accuracy without significantly increased computational burden.

Authors with CRIS profile

Yanpeng Su Lehrstuhl für Intelligente Technische Elektronik und Systeme Norman Franchi Lehrstuhl für Intelligente Technische Elektronik und Systeme Maximilian Lübke Lehrstuhl für Intelligente Technische Elektronik und Systeme

How to cite

APA:

Su, Y., Franchi, N., & Lübke, M. (2026). A Low-Complexity Denoising and Fine Estimation Algorithm for MIMO Radar. IEEE Transactions on Radar Systems, 1-1. https://doi.org/10.1109/TRS.2026.3677521

MLA:

Su, Yanpeng, Norman Franchi, and Maximilian Lübke. "A Low-Complexity Denoising and Fine Estimation Algorithm for MIMO Radar." IEEE Transactions on Radar Systems (2026): 1-1.

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