A Practical Distribution-Free Detection Procedure for Multiple-Range-Bin Radars

Dillard, George M.; Antoniak, Charles E.

doi:10.1109/taes.1970.310063

Cited by 37 publications

(17 citation statements)

References 5 publications

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“…This would be particularly useful when N is large. Some results presented in [1] for a particular case of binary quantization suggest that this simplification can be introduced with little or no loss in detection performance.9…”

Section: Discussionmentioning

confidence: 96%

“…These (discrete) densities were subsequently subjected to numerical convolutions in order to determine the distribution of the detector output TGS as given by (2). From the results with only noise present the thresholds required to yield specified values of false alarm probability could be determined.6 Due to the discreteness of the distributions, randomized decision rules were used to obtain the required value of Pf with equality.7 5For the nonparametric detector studied in [1] it is not difficult to show that the asymptotic relative efficiency is which is maximum for N = 6 corresponding to L = 1.9 dB. For N = 10 the asymptotic loss is 2.0 dB which is close to the loss found in II forM= 50.…”

Section: Detection Performance Of the Generalized Sign Detectormentioning

confidence: 99%

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Nonparametric Radar Extraction Using a Generalized Sign Test

Hansen

Olsen

1971

IEEE Trans. Aerosp. Electron. Syst.

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A nonparametric procedure used in a constant false alarm rate (CFAR) radar extractor for detecting targets in a background of noise with unknown statistical properties is described. The detector is based on a generalization of the well-known two-sample sign test and thus requires a set of reference noise observations in addition to the set of observations being tested for signal presence.The detection performance against Gaussian noise is determined for a finite number of observations and asymptotically, for both nonfluctuating and pulse-to-pulse Rayleigh fluctuating target

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Section: Discussionmentioning

confidence: 96%

Section: Detection Performance Of the Generalized Sign Detectormentioning

confidence: 99%

Nonparametric Radar Extraction Using a Generalized Sign Test

Hansen

Olsen

1971

IEEE Trans. Aerosp. Electron. Syst.

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“…The application of nonparametric detectors in radar systems can be traced back to 1970s [1]. Nonparametric detectors can provide a Constant False-Alarm Rate (CFAR) under only rather general assumptions on the statistics of the underlying noise sources.…”

Section: Introductionmentioning

confidence: 99%

“…Most nonparametric CFAR detectors are based on the use of signs (polarities) or ranks of received observations. Some examples of nonparametric radar detectors can be found in [1][2][3]. In the past, some nonparametric detectors have been applied to radar detection [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

New nonparametric detectors under K-distributed sea clutter in radar applications

Zhao

Ruilai

Huang

et al. 2011

Proceedings of 2011 IEEE CIE International Conference on Radar

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Based on modified rank test, this paper proposes two new nonparametric detectors by using the K-distributed sea clutter model. These two detectors are Modified-Rank-based Generalized Sign detector (MRGS) and Modified-Rank-based Mann-Whitney detector (MRMW). The new detectors are achieved by designing the inverse-normal-score functions of the rank statistics. They are CFAR (Constant False Alarm Rate) for the data with continuous CDF (Cumulative Distribution Function) and with PDF (Probability Density Function) bing symmetric about zero. The performance of the new detectors is analyzed under the Swerling II target model by Monte-Carlo simulation.We compare the results of our proposed detectors with two classical nonparametric detectors: Generalized Sign (GS) detector and Mann-Whitney (MW) Detector. The most important conclusion is that the detectability of nonparametric detector is insensitive to the change of the scale parameter b but just depends on the shape parameter Ȟ of the K-distributed clutter for the Swerling II target model. Moreover, nonparametric detector especially for the proposed MRMW detector in this paper is quite suitable for low observable targets detection under spiky Kdistributed sea clutter.

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“…Solutions suggested to tackle one problem degrades the performance In the other. In this paper, we show how both the problems can be handled reasonably well by using a modified version of distribution free CFAR processor [8]. Analytical results for the normal homogeneous interference situation and simulation results for the non-homogenous situations (clutter edges and multitarget situations) are presented.…”

mentioning

confidence: 97%

Modified distribution free CFAR processor for clutter edges and multi-target situations

Nagarajan

Chaturvedi²,

Dhage³

ICASSP '84. IEEE International Conference on Acoustics, Speech, and Signal Processing

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Performance of GEAR processors gets degraded at clutter edges and in multi target situations. Solutions suggested to tackle one problem degrades the performance In the other. In this paper, we show how both the problems can be handled reasonably well by using a modified version of distribution free CFAR processor [8]. Analytical results for the normal homogeneous interference situation and simulation results for the non-homogenous situations (clutter edges and multitarget situations) are presented.

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A Practical Distribution-Free Detection Procedure for Multiple-Range-Bin Radars

Cited by 37 publications

References 5 publications

Nonparametric Radar Extraction Using a Generalized Sign Test

Nonparametric Radar Extraction Using a Generalized Sign Test

New nonparametric detectors under K-distributed sea clutter in radar applications

Modified distribution free CFAR processor for clutter edges and multi-target situations

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