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Electrical Engineering and Systems Science > Signal Processing

Title: Near-Field EM-Based Multistatic Radar Range Estimation

Abstract: Radar targets are traditionally modelled as point target reflectors, even in the near-field region. Yet, for radar systems operating at high carrier frequencies and small distances, traditional radar propagation models do not accurately model the scatterer responses. In this paper, a novel electromagnetic-based model is thus developed for the multistatic radar detection of a rectangular plate reflector in the near-field region. This model is applied to an automotive scenario, in which a linear antenna array is spread out at the front of a vehicle, and performs a radar measurement of the distance to the back of the vehicle ahead. Based on the developed received signal model, the maximum likelihood estimator of the range is designed. By exploiting the near-field target model, this estimator is shown to provide a significant gain with respect to traditional range estimators. The impact of the system and scenario parameters, i.e. the carrier frequency, bandwidth and distance to the target, is furthermore evaluated. This analysis shows that the radar resolution in the near-field regime is improved at high carrier frequencies, while saturating to the traditional bandwidth-dependent resolution in the far-field region.
Comments: This paper has been submitted to EUSIPCO 2024
Subjects: Signal Processing (eess.SP)
Cite as: arXiv:2403.09258 [eess.SP]
  (or arXiv:2403.09258v2 [eess.SP] for this version)

Submission history

From: Francois De Saint Moulin [view email]
[v1] Thu, 14 Mar 2024 10:30:58 GMT (1073kb,D)
[v2] Wed, 27 Mar 2024 13:37:16 GMT (1076kb,D)

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