New algorithm for multi targets detection in clutter edge radar environments

Mustafa Subhi Kamal (University Tun Hussein on Malaysia(UTHM))
Jiwa Abdullah (University Tun Hussein on Malaysia(UTHM))

Indonesian Journal of Electrical Engineering and Computer Science
Vol 18, No 1: April 2020

This paper deals with the problem of multi target detection that appears inside clutter cloud which represent the worst radar environments by using constant false alarm rate CFAR algorithm, in order to achieve maximum probability of detection with constant false alarm rate, to detect target in such environments it need to construct robust constant false alarm CFAR algorithm that excise the target spikes from CFAR window and deal with clutter edges in order to give best possible estimation to the noise background. Modified cell averaged (CA-CFAR) is analyzed and compared with Two important algorithms which are cell averaged (CA-CFAR) and ordered statistics (OS-CFAR) algorithms in additional to the modified CA-CFAR algorithm. All these algorithms were simulated with mat lab and applied them to matlab clutter test model that represent different radar environment cases. Tradeoff among these algorithms depending on their responses.