A Monte Carlo simulation for two novel automatic censoring techniques of radar interfering targets in log-normal clutter

Almarshad, M.N.; Barkat, M.; Alshebeili, Saleh A.

doi:10.1016/j.sigpro.2007.09.013

Cited by 17 publications

(4 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…At the start, the number of sensors is set at the number of useful signal directions. Then the multiple direction interference is tried to be suppressed by a canceller routine of (1) - (8). If the mainlobes towards useful signal directions are not evened enough, the set of interference directions is corrected.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Multiple Direction Interference Suppression by Uniform Linear Phased Array Sidelobe Efficient Canceller

Romanuke

2021

ITS

View full text Add to dashboard Cite

Background. For radar systems, the beam pattern of a uniform linear array (ULA) is synthesized to ensure signal selectivity by direction. A specific ULA sidelobe is cancelled by rescaling the beam weights. In particular, this is done by increasing the number of sensors and shortening the scanning step. However, a noticeable limitation is a loss of the transmitted power. Therefore, the problem is to optimally balance the number of sensors versus effective ULA sidelobe cancellation. Objective. In order to ensure multiple direction interference suppression, the goal is to find an optimal number of ULA radar sensors for the beam pattern synthesis. The criterion is to determine such a minimum of these sensors at which mainlobes towards useful signal directions are evened as much as possible. Methods. To achieve the said goal, the ULA sidelobe cancellation is simulated. The simulation is configured and carried out by using MATLAB® R2020b Phased Array System ToolboxTM functions based on an algorithm of the sidelobe cancellation. Results. By increasing the number of ULA sensors, the beam pattern lobes are not only thinned but also change in their power. In particular, the interference direction sidelobes become relatively stronger. The number of sensors is limited by the three influencing factors: the thinned-array curse transmitted power loss, the aperture size, and the sidelobes intensification. Conclusions. An optimal number of ULA radar sensors for the beam pattern synthesis can be found when the scanning step is equal to the least distance between adjacent interference directions. At the start, the number of sensors is set at the number of useful signal directions. If the mainlobes towards useful signal directions are not evened enough, the set of interference directions is corrected. Keywords: radar phased array; beam pattern; interference direction; sidelobe cancellation; aperture size.

show abstract

Section: Discussionmentioning

confidence: 99%

“…For radar systems, the beam pattern of a uniform linear array (ULA) is synthesized to ensure signal selectivity by direction [5], [6]. This is a common task because the area scanned by a radar can have interferers [7], [8]. These interferers and their directions are presumed to be determined.…”

Section: Beam Pattern Synthesismentioning

confidence: 99%

Multiple Direction Interference Suppression by Uniform Linear Phased Array Sidelobe Efficient Canceller

Romanuke

2021

ITS

View full text Add to dashboard Cite

show abstract

“…Let ρ be the probability that the initial population defined by the resolution cells q (1) and q (p) , is homogeneous [9], i.e.,…”

Section: Effect Of the Initial Populationmentioning

confidence: 99%

“…Farrouki and Barkat [7] introduced the Automatic Censoring Cell Averaging-Ordered Data Variability detector (ACCA-ODV) based on the variability index. Recently, Musa'ed N. Almarshad et al [8][9] considered, respectively, the Forward Automatic censored Cell-Averaging detector (F-ACCAD-CFAR) and the Forward/Backward Automatic Censored Order-Statistic detection (F/B-ACOSD-CFAR) for multiple target situations in a lognormal environment. In this work, we consider the problem of automatic censoring of an unknown number of interfering targets in Weibull clutter.…”

Section: Introductionmentioning

confidence: 99%

Forward and Backward Automatic Censoring Binary integration detectors using Weber-Haykin thresholding

Detouche

Laroussi

2011

2011 IEEE International Conference on Signal and Image Processing Applications (ICSIPA)

View full text Add to dashboard Cite

In non homogeneous environments, the non stationary clutter statistics in which the radar operates and the number of interferences that may be present in the reference window, are unknown a priori. In such a case, the use of automatic censoring techniques becomes an essential task. In this paper, we develop the Forward and Backward Automatic Censoring Binary non-Coherent Integration Constant False Censoring and Alarm Rates Detectors based upon the WeberHaykin adaptive thresholding (WH-based F/B-ACBID-CFCAR).For a Weibull background. We show, through Monte-Carlo simulations, that both censoring and detection performances of these detectors, outperform those of the corresponding one-pulse detectors.

show abstract

An adaptive CFAR embedded system architecture for target detection

Djemal

Belwafi

Alshebeili

2013

Des Autom Embed Syst

View full text Add to dashboard Cite

A Monte Carlo simulation for two novel automatic censoring techniques of radar interfering targets in log-normal clutter

Cited by 17 publications

References 19 publications

Multiple Direction Interference Suppression by Uniform Linear Phased Array Sidelobe Efficient Canceller

Multiple Direction Interference Suppression by Uniform Linear Phased Array Sidelobe Efficient Canceller

Forward and Backward Automatic Censoring Binary integration detectors using Weber-Haykin thresholding

An adaptive CFAR embedded system architecture for target detection

Contact Info

Product

Resources

About