The signal fusion of multiple frequency bands and multiple radars is an effective method to improve the resolution of target range profile.With the sparse band observation

the conventional phase compensation methods in signal fusion are invalid because the frequency bands are sparse.A new super-resolution range imaging method based on the modified MUSIC (multiple signal classification) algorithm is presented with liner frequency modulated signal.Firstly

the uniform B-splines is applied to resample the signals for obtaining the uniform signal sequences.Secondly

the signal model of multiple radars with multiple frequency bands is established.Consequently

the phase compensation parameter and the scatter center parameters are estimated based on the uniform signal model.The theoretical analysis and simulations results show the presented signal fusion imaging method can effectually increase signal bandwidth and obtain super-resolution range image under sparse frequency band observations conditions.