An Improved OS-CFAR Method Based on Relative Doppler Peak Height Feature
On the basis of traditional ordered statistics constant false alarm,an improved detection method of ordered sta-tistics constant false alarm using relative Doppler peak height features is proposed.The detection algorithm combines the advantages of the relative Doppler peak height(RDPH)feature and the ordered statistical class(OS-CFAR)detection al-gorithm to calculate the relative Doppler peak height feature of radar echo data,and obtains the detection threshold by sorting and selecting the feature estimation of the reference unit.Through simulation and actual data test,the detection performance of this algorithm is compared with other traditional constant false alarm algorithms in different backgrounds,and the advantages of this algorithm are verified.The results show that the improved OS-CFAR based on the relative Dop-pler peak height feature can achieve better detection probability in the high sea state scenario of measured Marine radar data compared with the traditional mean and ordered statistics constant false alarm detection algorithms.
万方数据
维普
