Amplitude aiding dual-threshold clustering algorithm and its application to coherent radar

General clustering algorithm in coherent radar distance Doppler domain has several questions such as large amount of computation, inconsistent dimension, incorrect clustering and so on, thus this paper puts forward a dual-threshold clustering algorithm which is aided by amplitude. Firstly, detect the edge of the two-dimensional image of R-D and make data limit within local boundary. Then normalize R-D data. Finally, employing the amplitude information to aid Distance-Doppler information respectively proceed the first process of rough clustering and the second process of clustering. The algorithm can solve the problem of target amplitude rapid ups and downs and be applicable to all kinds of complex situations which targets coexist with interference. In addition, the algorithm does not require any priori information about the parameters, which is fit for applying to coherent radar.