Results 171 to 180 of about 4,494 (215)

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
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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
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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
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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
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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
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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
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CFAR detection of chirplets in coloured Gaussian noise

2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)., 2004
Two detectors based on the GLRT (generalized maximum likelihood ratio test) are presented to detect a chirplet in coloured Gaussian noise for known and unknown covariance structures, respectively. They are applied to detect multiple chirplets by atomic decomposition, which is modified to account for the operating conditions of both detectors.
Gustavo López-Risueño, Jesús Grajal, Omar A. Yeste Ojeda   +2 more
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Robust CFAR detection in nonhomogeneous correlated interference

[Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, 1992
Among the few adaptive filtering algorithms which have an embedded constant false alarm rate (CFAR) performance feature, the generalized likelihood ratio (GLR) test algorithm has been found to be robust in the non-Gaussian interference. The detection performance of the GLR algorithm is examined in nonhomogeneous/nonstationary interference environments ...
Hong Wang, Lujing Cai
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Distributed Fuzzy CFAR Detection for Weibull Clutter

IEICE Transactions on Communications, 2008
In Distributed detection systems, restricting the output of the local decision to one bit certainly implies a substantial information loss. In this paper, we consider the fuzzy detection, which uses a function called membership function for mapping the observation space of each local detector to a value between 0 and 1, indicating the degree of ...
Amir Zaimbashi, Mohammad Reza Taban, Mohammad Mehdi Nayebi   +2 more
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