2024
DOI: 10.3390/electronics13050851
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Moving-Target Detection for FDA-MIMO Radar in Partially Homogeneous Environments

Changshan He,
Running Zhang,
Bang Huang
et al.

Abstract: This paper delves into the problem of moving-target detection in partially homogeneous environments (PHE) with unknown Gaussian disturbance using a frequency diverse array multiple-input multiple-output (FDA-MIMO) radar. Using training data, we have derived expressions for four adaptive detectors, including the one-step and two-step generalized likelihood ratio test (GLRT), two-step Rao (TRao) test, and two-step Wald (TWald) test criteria, respectively. All the proposed detectors are characterized by the const… Show more

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Cited by 3 publications
(1 citation statement)
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“…It is worth highlighting that the aforementioned algorithms are considered in homogeneous environments [13][14][15][16][17][18]; however, since airborne radar usually works in a downwardlooking state [19], it faces a severely heterogeneous clutter environment. Heterogeneous clutter refers to clutter for which its characteristics are inconsistent with that of the cell under test (CUT), such as clutter with a different power [20] or probability density function (PDF). When detecting the target, heterogeneous clutter interferes with the detector's estimation of the clutter, thus affecting the correctness of the detection results.…”
Section: Introductionmentioning
confidence: 99%
“…It is worth highlighting that the aforementioned algorithms are considered in homogeneous environments [13][14][15][16][17][18]; however, since airborne radar usually works in a downwardlooking state [19], it faces a severely heterogeneous clutter environment. Heterogeneous clutter refers to clutter for which its characteristics are inconsistent with that of the cell under test (CUT), such as clutter with a different power [20] or probability density function (PDF). When detecting the target, heterogeneous clutter interferes with the detector's estimation of the clutter, thus affecting the correctness of the detection results.…”
Section: Introductionmentioning
confidence: 99%