An Iterative Algorithm of Signal Detection Based on CFAR
Yang Yi-xian · Beijing Youdian Xueyuan xuebao · 2005
An iterative algorithm based on constant false alarm rate(CFAR) in signal detection fields is presented in this paper. This algorithm can estimate the statistical characteristic of intermediate frequency noise. It extracts signal from noise by analyzing statistical characteristic. It is easy to obtain the parameter of signal such as signal counts, bandwidth, carrier frequency after pure signal is extracted. This algorithm has been proved to be a simple and well self-adaptive method by MATLAB simulation.