Fuzzy CFAR Detectors for MIMO Radars in Homogeneous and Non-Homogeneous Pareto Clutter
| Autor: | F. Soltani, M. Baadeche, F. Khaldi |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
010302 applied physics
Radiation MIMO Pareto principle 020206 networking & telecommunications 02 engineering and technology Condensed Matter Physics 01 natural sciences Defuzzification Fuzzy logic Electronic Optical and Magnetic Materials Product (mathematics) 0103 physical sciences 0202 electrical engineering electronic engineering information engineering Clutter Electrical and Electronic Engineering Algebraic number Algorithm Membership function Mathematics |
| Zdroj: | Journal of Communications Technology and Electronics. 66:62-69 |
| ISSN: | 1555-6557 1064-2269 |
| Popis: | In this paper, we propose to use fuzzy fusion rules to improve the performances of the CA-CFAR and OS-CFAR detectors for non-coherent MIMO radars in homogenous and non-homogenous Pareto background. First, the membership function for each individual detector is computed. At the fusion center, the membership functions are combined using four fuzzy fusion rules, namely; the “MIN”, “MAX”, “algebraic product” and the “algebraic sum” to yield a binary decision after defuzzification. The obtained results show that for a number of nodes equal to four, the performance is the best for a high number of receivers. In homogeneous background, the “algebraic product” fusion rule gives the best result when SCR > 4 dB whereas the “algebraic sum” is the best when SCR < 4 dB for the CA-CFAR. For the OS-CFAR, it is clearly shown that the “algebraic product” is the best. In non-homogenous case, the “algebraic sum” fusion rule gives the best results for the CA-CFAR, and the “algebraic product” for the OS-CFAR. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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