Generalized Keystone transform algorithm for dim moving target detection

Aimed at the problem that the accumulation result varies with the choice of the benchmark pulse used in the Keystone transform to correct range migration, a generalized Keystone transform algorithm is proposed for detecting the dim moving target via long-term coherent integration. The algorithm first searches for the minimum error of discrete time sampling and the corresponding pulse from digital pulse compression. Afterwards, this pulse echo is used as the benchmark in the Keystone transform, by which all the pulse echoes are corrected into the same range resolution cell. Accordingly, the maximum output after accumulation is obtained. Computer simulation and real data processing results are given to verify the effectiveness of the proposed method.