Abstract
The performance of distributed adaptive clutter map constant false alarm rate (CMAP-CFAR) detection system using fuzzy fusion rules with homogeneous and non-homogeneous background is considered in this paper. We assume that the sensors are identical and the target is fluctuating according to Swerling I model embedded in a white Gaussian noise with unknown variance. Each detector computes the value of the membership function to the false alarm space from the previous samples of the cell under test and transmits it to the fusion center. These values are combined according to fuzzy fusion rules to produce a global membership function to the false alarm space. The obtained results showed that the best performance was obtained while using the “algebraic product” fuzzy rule and the probability of detection increases significantly with the number of detectors.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
R. Nitzberg, “Clutter map CFAR analysis,” IEEE Trans. Aerospace Electronic Systems AES–22, No. 4, 419 (July 1986). DOI: https://doi.org/10.1109/TAES.1986.310777.
M. Hamadouche, M. Barakat, M. Khodja, “Analysis of the clutter map CFAR in Weibull clutter,” Signal Processing 80, No. 1, 117 (2000). DOI: https://doi.org/10.1016/S0165-1684(99)00115-2.
Z. Hammoudi, F. Soltani, “Distributed CA–CFAR and OS–CFAR detection using fuzzy spaces and fuzzy fusion rules,” IEE Proc.–Radar Sonar Navigation 151, No. 3, 135 (2004). DOI: https://doi.org/10.1049/ip-rsn:20040560.
H. E. Bouchelaghem, M. Hamadouche, F. Soltani, K. Baddari, “Adaptive clutter–map CFAR detection in distributed sensor networks,” AEU–Int. J. Electronics Commun. 70, No. 9, 1288 (2016). DOI: https://doi.org/10.1016/j.aeue.2016.06.016.
H. E. Bouchelaghem, M. Hamadouche, F. Soltani, K. Badari, “Analysis of distributed clutter–map CFAR detection using fuzzy fusion rules,” Proc. of Int. Conf. on Mechanics and Aeronautics, CIMA 2016, 18–20 Oct. 2016, Algiers, Algeria (2016).
A. Papoulis, Probability, Random Variables and Stochastic Processes (McGraw–Hill, New York, 1984).
H. E. Bouchelaghem, M. Hamadouche, “Performance analysis of a new CFAR detector for heterogeneous environments,” Digital Signal Processing 9, No. 2, 35 (2017). URI: http://www.ciitresearch.org/dl/index.php/dsp/article/view/DSP022017004.
H. E. Bouchelaghem, M. Hamadouche, “Fuzzy CACMAP–CFAR performance analysis,” Fuzzy Systems 9, No. 3, 45 (2017). URI: http://www.ciitresearch.org/dl/index.php/fs/article/view/FS032017001.
Mohamed B. El Mashade, “Multitarget analysis of CFAR detection of partially–correlated 2 targets,” Radioelectron. Commun. Syst. 59, No. 1, 1 (2016). DOI: https://doi.org/10.3103/S0735272716010015.
Mohamed B. El Mashade, “Heterogeneous performance evaluation of sophisticated versions of CFAR detection schemes,” Radioelectron. Commun. Syst. 59, No. 12, 536 (2016). DOI: https://doi.org/10.3103/S0735272716120025.
Author information
Authors and Affiliations
Corresponding author
Additional information
Russian Text © H.E. Bouchelaghem, M. Hamadouche, F. Soltani, K. Baddari, 2019, published in Izvestiya Vysshikh Uchebnykh Zavedenii, Radioelektronika, 2019, Vol. 62, No. 1, pp. 3–7.
About this article
Cite this article
Bouchelaghem, H.E., Hamadouche, M., Soltani, F. et al. Distributed Clutter-Map Constant False Alarm Rate Detection Using Fuzzy Fusion Rules. Radioelectron.Commun.Syst. 62, 1–5 (2019). https://doi.org/10.3103/S0735272719010011
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.3103/S0735272719010011