In the space target exploration with narrowband radar, targets with high-speed go through several range cells in the
observation period which makes it more difficult to get each target's power coherently accumulated for target detection.
In addition, for multi-target detection with different velocity, the range migration amount will not be equal. This is
another problem for small target detection. In this study, novel multi-target detection with narrowband radar system is
proposed. The Keystone transform firstly be used for correcting the range migration in a pulse repetition frequency
(PRF). Then the fold factor of the strongest target can be estimated through Sparse Radon transform and compensates the
corresponding phase term, following a quadratic phase term be compensated and at last the energy of the strongest target
can be accumulated effectively by Fourier transform. The Clean technique is applied to the case of multi-target detection.
The proposed algorithm is verified by simulation results.