The limits on autofocus accuracy in SAR

Green, J. F.; Oliver, C.J.

doi:10.1080/01431169208904068

Cited by 12 publications

(1 citation statement)

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“…Considering that the Doppler centroid and Doppler rate are decoupled parameters, we can separately derive the performance (performance calculation in Doppler assuming perfectly compensated Doppler rate and vice versa). In addition, for a single point-like target, it can be demonstrated that maximizing the intensity contrast is equivalent to maximizing its peak intensity [27]. On this basis, for the estimation of the Doppler centroid, it is possible to assume the signal in the slow-time range-frequency domain as:…”

Section: Conflicts Of Interestmentioning

confidence: 99%

Decentralized Approach for Translational Motion Estimation with Multistatic Inverse Synthetic Aperture Radar Systems

Testa,

Pastina,

Santi

2023

Remote Sensing

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This paper addresses the estimation of the target translational motion by using a multistatic Inverse Synthetic Aperture Radar (ISAR) system composed of an active radar sensor and multiple receiving-only devices. Particularly, a two-step decentralized technique is derived: the first step estimates specific signal parameters (i.e., Doppler frequency and Doppler rate) at the single-sensor level, while the second step exploits these estimated parameters to derive the target velocity and acceleration components. Specifically, the second step is organized in two stages: the former is for velocity estimation, while the latter is devoted to velocity estimation refinement if a constant velocity model motion can be regarded as acceptable, or to acceleration estimation if a constant velocity assumption does not apply. A proper decision criterion to select between the two motion models is also provided. A closed-form theoretical performance analysis is provided for the overall technique, which is then used to assess the achievable performance under different distributions of the radar sensors. Additionally, a comparison with a state-of-the-art centralized approach has been carried out considering computational burden and robustness. Finally, results obtained against experimental multisensory data are shown confirming the effectiveness of the proposed technique and supporting its practical application.

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Section: Conflicts Of Interestmentioning

confidence: 99%