Results 161 to 170 of about 2,768,391 (211)

Weighted likelihood CFAR detection for Weibull background

Digital Signal Processing, 2021
Abstract In modern radar detection systems, constant false alarm rate (CFAR) control is a key technique for automatic target detection in clutter level unknown environments. The maximum likelihood criterion is often used to design the CFAR detector for which it has the best detection performance with the expected probability of false alarm.
Baiqiang Zhang, Jie Zhou 0027, Junhao Xie, Wei Zhou 0023   +3 more
openaire   +2 more sources

On the modelling of uncertainty in radar CFAR detection

Signal, Image and Video Processing, 2009
In this paper, we propose a model for a constant false alarm detection that uses fuzzy logic to describe the uncertainty on the decision about the presence or the absence of a target. The received signal is processed in a sequential manner so that the test is performed after each observation.
Chehla Alioua, Faouzi Soltani
openaire   +1 more source

A new CFAR detection test for radar

Digital Signal Processing, 1991
In a well-known paper [2], Reed, Mallett, and Brennan (RMB ) discuss an adaptive procedure for the detection of a signal of known form in the presence of noise (or interference) which is assumed to be Gaussian, but whose covariance matrix is totally unknown.
Wai-Sheou Chen, Irving S. Reed
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Adaptive CFAR Radar Detection With Conic Rejection

IEEE Transactions on Signal Processing, 2007
In this paper, we deal with the problem of adaptive signal detection in colored Gaussian disturbance. Since the classical receivers may exhibit severe performance degradations in the presence of steering vector mismatches and sidelobe interfering signals, we try to account for the quoted drawbacks, very usual in realistic radar scenarios, at the design
BANDIERA, Francesco, DE MAIO A, RICCI, Giuseppe   +2 more
openaire   +4 more sources

DL-CFAR: A Novel CFAR Target Detection Method Based on Deep Learning

2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall), 2019
The well-known cell-averaging constant false alarm rate (CA-CFAR) scheme and its variants suffer from masking effect in multi-target scenarios. Although order-statistic CFAR (OS-CFAR) scheme performs well in such scenarios, it is compromised with high computational complexity. To handle masking effects with a lower computational cost, in this paper, we
Chia-Hung Lin, Yu-Chien Lin, Yue Bai, Wei-Ho Chung, Ta-Sung Lee, Heikki Huttunen   +5 more
openaire   +1 more source

Compressive CFAR radar detection

2012 IEEE Radar Conference, 2012
In this paper we develop the first Compressive Sensing (CS) adaptive radar detector. We propose three novel architectures and demonstrate how a classical Constant False Alarm Rate (CFAR) detector can be combined with l 1 -norm minimization. Using asymptotic arguments and the Complex Approximate Message Passing (CAMP) algorithm we characterize the ...
Anitori, L., Otten, M.P.G., Rossum, W.L. van, Maleki, A., Baraniuk, R.   +4 more
openaire   +2 more sources

CFAR detection of multidimensional signals: an invariant approach

IEEE Transactions on Signal Processing, 2003
The paper deals with constant false alarm rate (CFAR) detection of multidimensional signals embedded in Gaussian noise with unknown covariance. We attack the problem by resorting to the principle of invariance,which proves a valuable statistical tool for ensuring a priori, namely at the design stage, the CFAR property.
CONTE, ERNESTO, DE MAIO, ANTONIO, C. Galdi   +2 more
openaire   +3 more sources

Decentralized CFAR signal detection

IEEE Transactions on Aerospace and Electronic Systems, 1989
The authors develop the theory of CA-CFAR (cell-averaging constant false-alarm rate) detection using multiple sensors and data fusion, where detection decisions are transmitted from each CA-CFAR detector to the data fusion center. The overall decision is obtained at the data fusion center based on some k out of n fusion rule.
M. Barkat, P.K. Varshney
openaire   +1 more source

Robust Distributed Sonar CFAR Detection Based on Modified VI-CFAR Detector

2019 International Conference on Control, Automation and Information Sciences (ICCAIS), 2019
This paper proposes a robust distributed constant false alarm ratio (CFAR) detection algorithm to deal with the multistatic sonar target detection problem in the heterogeneous underwater environment. The local detector in the distributed sonar network employs the modified variability index (VI) CFAR where we apply the automatic censored mean level ...
Shuping Lu, Xu Sun 0007, Feng Ding, Ranwei Li   +3 more
openaire   +2 more sources

Distributed CFAR target detection

Journal of the Franklin Institute, 1999
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gowda, C. H., Uner, M. K., Varshney, P. K., Viswanathan, R.   +3 more
openaire   +2 more sources