Comparative Study of Combined CFAR Algorithms for Non-Homogenous Environment
| Autor: | Gufran M. Hatem, Jafar W. Abdul Sadah, Thamir R. Saeed |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Computer science
010401 analytical chemistry 020206 networking & telecommunications Context (language use) 02 engineering and technology 01 natural sciences 0104 chemical sciences Constant false alarm rate 0202 electrical engineering electronic engineering information engineering General Earth and Planetary Sciences Clutter Enhanced Data Rates for GSM Evolution State (computer science) Algorithm General Environmental Science |
| Zdroj: | Procedia Computer Science. 131:58-64 |
| ISSN: | 1877-0509 |
| DOI: | 10.1016/j.procs.2018.04.185 |
| Popis: | The combination of different CFARs algorithms has been done to overcome the limitations of individual ones with different return signals in the non-homogenous environment. A comparative study of two kinds of algorithms; the combination between CFAR in the same family and diverse families. TM, AND, OR, CASH, ACGCA-CFAR algorithms have been tested with four kinds of return signals, single, multi, close targets and clutter edge. Also, the probability of detection has been evaluated for these algorithms. This study appears that the CASH, OR and TM have an overperform than the other in the multi-target case, while the ACGCA, VI, and TM are advance the other in the adjacent target state, in this context, the OR, VI, and ACGCA are best in clutter edge case. In this study, the Matlab 2015b is used to evaluate the performance of different types of CFAR algorithms. |
| Databáze: | OpenAIRE |
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