Results 81 to 90 of about 12,039 (199)
This paper reports a simulation-based investigation of low-radar-cross-section (low-RCS) maritime target detection using a pulse–Doppler radar operating in K-distributed sea clutter environments.
Muhammad Rendra Perdana Kusuma Djaka +3 more
doaj +1 more source
A hardware architecture that implements an adaptive filter based on energy analysis of radar echoes to improve the detection of the Constant False Alarm Rate (CFAR) algorithm is presented. Signal processing based on energy analysis emphasizes the edge of
SANTOS MARTIN LOPEZ ESTRADA +1 more
core
CFAR detection in K-distributed sea clutter
Conventional fixed threshold detectors set a fixed threshold based on the overall statistical characteristics of the spatially uniform clutter over all ranges to give a specific probability of false alarm and detection.
AYŞİN ÇETİN
core
CATM-CFAR detector in the receiver of the software defined radar [PDF]
This paper presents a model of the CATM-CFAR detector in the receiver of the software defined radar. The mentioned detector is named cell-averaging-trimmed-mean CFAR. It is a combination of cell-averaging and trimmed mean CFAR.
Ivković Dejan +4 more
doaj
CFAR Different Schemes Behavior and Detection Performance of Moving Targets
In this paper detection probability of different CFAR schemes CA, GO, SO, and OS-CFAR is computed via various values of false alarm probability. The CA-CFAR and GO-CFAR detection performance is superior over other schemes; OS-CFAR detection performance ...
Salem, Ahmed +2 more
core
The performance of marine radar constant false alarm rate (CFAR) detection method is significantly influenced by the modeling of sea clutter distribution and detector decision rules. The false alarm rate and detection rate are therefore unstable.
Baotian Wen, Zhizhong Lu, Bowen Zhou
doaj +1 more source
The Software-Based Implementation of the CFAR Reciever for the Processing of the Radar Signal
The performance of a radar receiver is greatly dependent on the presence of noise. The receiver should achieve the constant false alarm rate (CFAR) and the maximum probability of the target detection.
Erik Gemzicky
doaj
An improved adaptive constant false alarm rate (CFAR) detector based on fuzzy theory is proposed to address the issue of poor detection performance and robustness of the variability index (VI) class CFAR detectors due to the misjudgment of the background
Xudong Yang, Chunbo Xiu
doaj +1 more source

