DocumentCode :
1610965
Title :
Extensive Monte Carlo simulations for performance comparison of three non-coherent integrations using Log-t-CFAR detection against Weibull clutter
Author :
Detouche, N. ; Laroussi, Toufik
Author_Institution :
Dept. de Genie Electr., Univ. du 20 Aout 55, Skikda, Algeria
fYear :
2012
Firstpage :
726
Lastpage :
729
Abstract :
Due to new generation digital processors, the problem of large processing time required by complex detectors can be easily overcome. To this effect, we propose to extend the use of a single pulse log-t Constant False Alarm Rate (CFAR) detector in Weibull background to noncoherent multiple pulse processing. The echoed pulses are treated within the same receiver in three different ways, namely; the conventional integration detector (CI-CFARD), the non-conventional integration detector (NCI-CFARD) and the binary integration detector (BI-CFARD). The detection performances are evaluated through Monte Carlo simulations and show that the non-conventional integration technique yields the lowest CFAR compared with the other non-coherent integration techniques.
Keywords :
Monte Carlo methods; Weibull distribution; radar clutter; radar detection; radar signal processing; BI-CFARD; CI-CFARD; Log-t-CFAR detection; NCI-CFARD; Weibull clutter; binary integration detector; conventional integration detector technique; echoed pulses; extensive Monte Carlo simulations; new generation digital processors; noncoherent integrations; noncoherent multiple pulse processing; nonconventional integration detector technique; receiver; single pulse log-t constant false alarm rate detector; Clutter; Detectors; Program processors; Radar detection; Thyristors; CFAR; Log-t; binary; conventional; non-conventional;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sciences of Electronics, Technologies of Information and Telecommunications (SETIT), 2012 6th International Conference on
Conference_Location :
Sousse
Print_ISBN :
978-1-4673-1657-6
Type :
conf
DOI :
10.1109/SETIT.2012.6482004
Filename :
6482004
Link To Document :
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