Abstract
Distributed order statistics constant false alarm rate (OS-CFAR) detection techniques are important for nonstationary observation with varying weak narrowband random signals. However, it is very difficult to choose system parameters to obtain optimal threshold values because of the nonlinear property of distributed OS-CFAR detection system. This paper provides a novel solution based on an effective and flexible genetic algorithm. Using this approach, all system parameters are directly coded in decimal chromosomes and they can be optimized simultaneously. The simulation results show that using the proposed approach one can achieve better performances than the reported methods and results. Furthermore, our method can also be used for more general nonhomogeneous situations with different fusion rules.
Original language | English |
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Pages | 275-278 |
Number of pages | 4 |
State | Published - 2001 |
Externally published | Yes |
Event | 2001 IEEE Radar Conference - Atlanta, GA, United States Duration: 01 05 2001 → 03 05 2001 |
Conference
Conference | 2001 IEEE Radar Conference |
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Country/Territory | United States |
City | Atlanta, GA |
Period | 01/05/01 → 03/05/01 |