Eliminating ghost images for stepped-frequency train of LFM pulses

Range ambiguity due to inappropriate frequency step size between successive pulses and “ghost image” phenomenon due to pulse expansion in single pulses, are two drawbacks of stepped-frequency waveforms (SFWF) in obtaining synthetic high range resolution (HRR) profiles. A new Least Square (LS) synthetic range profiling algorithm is proposed in this paper. Compared with the traditional algorithms, it can reduce range ambiguity, restrain ghost images, and decrease the signal-to-noise ratio (SNR) loss as well. The field experimental profiling results are also presented.