The Design of Constant False Alarm Module Based on CMLD-CFAR Algorithm

Abstract

Deleting the average class of constant false alarm rate monitoring (CMLD-CFAR) ,which bases on an average constant false alarm rate monitoring(CA-CFAR) ,can not only overcome the ML type detector under the background of multiple targets detection problem of poor performance, but also address the traditional OS type detector false alarm rate problem of the great losses[1].This paper regards the FPGA as a platform.Firstly use MATLAB simulation produces radar echo data to obey Rayleigh distribution,at the same time,switch this radar echo data into point data,which applies to hardware emulation; And then when using hardware simulation, read the previous data file and deal it with constant false alarm rate processing.At last,the system will show hardware simulation results and waveform.

New algorithm for multi targets detection in clutter edge radar environments

“…This non-homogeneous environment with clutter edge and non-uniform environments with unwanted multi interfering targets spikes need robust CFAR Indonesian J Elec Eng & Comp Sci ISSN: 2502-4752  New algorithm for multi targets detection in clutter edge radar environments (Mustafa subhi Kamal) 421 algorithm to deal with clutter edge and excise unwanted targets spikes from the background noise estimation to achieve primary wanted targets detection. Many methods and algorithms used to deal with non-homogeneous and non-uniform environments, rohling designed ordered statistics (OS-CFAR) that considered novel idea and the beginning of many methods that based on that algorithm [1], such as trimmed mean (TM-CFAR)and censored mean level detector (CMLD-CFAR) [2]. After that new attitude to examine, the radar environment before applying suitable CFAR circuit established, and other attitude to use combination of CFAR methods together with selection criteria.…”