Abstract: In the Constant False Alarm Rate (CFAR) processor, several algorithms can be used to decide the target in the Cell under Test (CUT) in the detection process stage at the receiver side. Since ...
The system has been tested on the GTZAN dataset, with various levels of noise (AWGN, MIREX noise). In real-world scenarios, the system achieves high accuracy even with noisy queries, and its query ...
Abstract: The cell-averaging constant false alarm rate (CA-CFAR) detection algorithm is a crucial step in indoor target detection using linear frequency modulated continuous wave (LFMCW) ...
Purpose: Survey Cell-Averaging (CA), Ordered-Statistic (OS), Greatest-Of CA (GOCA), and Smallest-Of CA (SOCA) CFAR variants with false alarm performance, detection probability, computational cost, and ...
The authors propose a parallel implementation of the Cell Average Constant False Alarm Rate (CA-CFAR) algorithm in reconfigurable hardware. The design is based on a parallel processing scheme ...
Radar target detection has evolved from simple thresholdâbased approaches to sophisticated adaptive and learning-based methods, driven by the need to identify increasingly small, fast or ...
This project mainly focuses on the prerequisite of feature-based ASfM algorithm. This project mainly focuses on the prerequisite of feature-based ASfM algorithm. To overcome the challenges brought by ...
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