Radar CFAR detection in Weibull clutter based on zlog(z) estimator

Gouri, Amel; Mezache, Amar; Oudira, Houcine

doi:10.1080/2150704x.2020.1744043

Cited by 26 publications

(5 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Upon this principle, real-time operation of CFAR detectors will be easy and fast, since the calculation of the tests statistics is carried out forwardly as a function of clutter samples. For the case of Weibull, log-normal and Pareto clutter models, numerous noncoherent CFAR detectors have been constructed with unknown parameters [4][5][6][7][8]. For instance, logt-CFAR, Maximum Likelihood (ML) CFAR, [zlog(z)]-CFAR, Trimmed Mean Order Statistic (TMOS) CFAR and Robust Variability Index (RVI) CFAR detectors are proposed in presence of Weibull and log-normal disturbances [9].…”

Section: Statistical Properties Of This Type Of Clutter Have Been App...mentioning

confidence: 99%

OSTM-CFAR Detector in Heterogeneous Pareto type II Radar Clutter

Zebiri,

Mezache

2024

Preprint

Self Cite

View full text Add to dashboard Cite

In this paper, we propose a non-coherent CFAR decision rule named OSTM-CFAR (Order Statistic Trimmed Mean Constant False Alarm rate) detector in a Pareto type II clutter with unknown scale and shape parameters. This is obtained after adequate selection of two scale invariant functions in the general hypothesis test. The resulting test statistic provides rapid calculation because is independent of any estimation method or numerical integration. Through simulated and real data, CFAR properties of suggested CFAR detector are maintained against both scale and shape parameters of clutter model. Besides, detection probability of both OSTM-CFAR and Bayesian-CFAR procedures are sketched together where the proposed one demonstrates its superiority in presence of interfering targets.

show abstract

Section: Statistical Properties Of This Type Of Clutter Have Been App...mentioning

confidence: 99%

OSTM-CFAR Detector in Heterogeneous Pareto type II Radar Clutter

Zebiri,

Mezache

2024

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…The CFAR algorithms have been modified and improved over time proposing different solutions, such as Cell Averaging (CA) CFAR or Ordered Sort (OS) CFAR [28]. Other algorithms have also been developed recently, such as Comp-CFAR [29], or CFAR based on the so called "zlog" estimator [30]. All current CFAR algorithms perform target detection through a reference window applied on Radar maps and process the data contained therein.…”

Section: A State-of-the-artmentioning

confidence: 99%

mmDetect: YOLO-based Processing of mm-Wave Radar Data for Detecting Moving People

Raimondi,

Ciattaglia,

Nocera

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…CFAR algorithms have been modified and improved over time proposing different solutions, such as Cell Averaging (CA) CFAR or Ordered Sort (OS) CFAR [26]. Other algorithms have also been developed recently, such as Comp-CFAR [27], or CFAR based on log [28]. All current CFAR algorithms perform target detection via a reference window and process the data contained therein.…”

Section: A State-of-the-artmentioning

confidence: 99%

mmDetect: YOLO-Based Processing of mm-Wave Radar Data for Detecting Moving People

Raimondi,

Ciattaglia,

Nocera

et al. 2024

IEEE Sensors J.

View full text Add to dashboard Cite

The terms and conditions for the reuse of this version of the manuscript are specified in the publishing policy. The use of copyrighted works requires the consent of the rights' holder (author or publisher). Works made available under a Creative Commons license or a Publisher's custom-made license can be used according to the terms and conditions contained therein. See editor's website for further information and terms and conditions. This item was downloaded from IRIS Università Politecnica delle Marche (https://iris.univpm.it). When citing, please refer to the published version.

show abstract

Radar CFAR detection in Weibull clutter based on zlog(z) estimator

Cited by 26 publications

References 11 publications

OSTM-CFAR Detector in Heterogeneous Pareto type II Radar Clutter

OSTM-CFAR Detector in Heterogeneous Pareto type II Radar Clutter

mmDetect: YOLO-based Processing of mm-Wave Radar Data for Detecting Moving People

mmDetect: YOLO-Based Processing of mm-Wave Radar Data for Detecting Moving People

Contact Info

Product

Resources

About