Coherent CFAR detection in compound Gaussian clutter with inverse gamma texture

Weinberg, Graham V.

doi:10.1186/1687-6180-2013-105

Cited by 9 publications

(10 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Coherent detection schemes, based upon a Pareto intensity model, have been analysed in several recent papers [9,[12][13][14][15]. From the incoherent perspective, [16] analyses classical integrators.…”

Section: Background and Motivationmentioning

confidence: 99%

Constant false alarm rate detection in Pareto distributed clutter: further results and optimality issues

Weinberg¹

2014

ces

Self Cite

View full text Add to dashboard Cite

The Pareto distribution has been validated recently as a model for X-band high resolution maritime surveillance radar clutter returns. As such, coherent and incoherent detection schemes have begun to appear in the literature. Consequently, constant false alarm rate (CFAR) detectors have also been explored in recent work. This paper introduces some new detectors, designed to manage issues associated with interfering targets and clutter changes in the CFAR training cells. Additionally, the existence of an optimal CFAR is examined, to see whether such a detector can exist as in the Gaussian intensity case.

show abstract

Section: Background and Motivationmentioning

confidence: 99%

Constant false alarm rate detection in Pareto distributed clutter: further results and optimality issues

Weinberg¹

2014

ces

Self Cite

View full text Add to dashboard Cite

show abstract

“…If most of the target energy is concentrated in one range cell, the performance of the three detectors is degraded. From (16), (20), and (27), the detection statistics of the three detectors are expressed as the product or logarithmic sum of the returns in the J range cells. Therefore, if the total target energy in all the J range cells is given, it can be concluded that the detection statistics achieve their maximum value when the target energy is uniformly distributed.…”

Section: Performance Assessmentmentioning

confidence: 99%

“…Some heavy-tailed radar clutter models, such as K distribution [16][17][18], Pareto distribution [19,20], KK distribution [21,22], are utilized in the target detection scheme design. In [16], the K-distribution is expressed as spherically invariant random process and then two CFAR detectors, i.e., scatterer density dependent GLRT (SDD-GLRT) and non-scatterer density dependent GLRT (NSDD-GLRT), are proposed.…”

Section: Introductionmentioning

confidence: 99%

“…Validation of the resultant Pareto clutter intensity model for X-band radar returns has been included in [23,24]. The target detectors based on Pareto distribution, i.e., the optimal detector, the GLRT detector and the whitening matched filter (WMF), are compared in [19,20]. The optimal decision rules for the totally known constant target based on Neyman-Pearson criterion in KK-distributed radar clutter is derived in [21].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Range-Spread Target Detection in Compound Gaussian Clutter With Reciprocal of the Square Root of Gamma Texture

Gao¹,

Zhan²,

Wan³

2014

PIER

View full text Add to dashboard Cite

Abstract-In this paper, the range-spread target detection in compound Gaussian clutter with reciprocal of the square root of gamma (RSRG) texture is investigated. The RSRG distribution has been proved to be a good model for texture component of extremely heterogeneous radar clutter. Taking this compound Gaussian model as a spherically invariant random process (SIRP), the Neyman-Pearson optimal detector for the range-spread target detection with known target amplitude is derived firstly. By replacing the ideal target amplitude with its maximum likelihood estimate (MLE), the generalized likelihood ratio test (GLRT) is then obtained. The statistical property of the texture component is taken into account in both of these two detectors, which makes the detectors computationally complicated. A suboptimal generalized likelihood ratio test based on order statistics (OS-GLRT) is finally proposed by substituting the texture component with its MLE. The OS-GLRT makes use of some largest observations from the range cells occupied by the most likely target scatters. The performance assessment conducted by Monte Carlo simulation validates the effectiveness of the proposed detectors.

show abstract

“…Progress has been reported in [12][13][14], which examine the problems associated with coherent detection. Owing to difficulties with covariance matrix estimation, incoherent detection schemes have also been examined [15,16].…”

Section: Introductionmentioning

confidence: 98%

Development of an improved minimum order statistic detection process for Pareto distributed clutter

Weinberg

2015

IET Radar, Sonar & Navigation

Self Cite

View full text Add to dashboard Cite

A simple modification of a minimum-based constant false alarm rate detector for Pareto clutter models is examined in this study. This has been motivated by the need to develop improved detection processes to operate in high grazing angle clutter as exemplified by returns acquired from the Defence Science and Technology Organisation's Ingara radar. A minimum-based detector has the greatest resilience to clutter transitions and interfering targets. However, it has been shown recently that a minimum-based detector for the Pareto environment has a tendency to saturate. Using a simple transformation, progress is made towards the development of a useful incoherent detection scheme. Its performance is then analysed in both synthetic and real clutter.

show abstract

Coherent CFAR detection in compound Gaussian clutter with inverse gamma texture

Cited by 9 publications

References 28 publications

Constant false alarm rate detection in Pareto distributed clutter: further results and optimality issues

Constant false alarm rate detection in Pareto distributed clutter: further results and optimality issues

Range-Spread Target Detection in Compound Gaussian Clutter With Reciprocal of the Square Root of Gamma Texture

Development of an improved minimum order statistic detection process for Pareto distributed clutter

Contact Info

Product

Resources

About