The high range resolution profiles (HRRP) of radar targets are always sparse and compressible

so it is possible to obtain the wideband scattering data by sparse and non-uniform samplings in the frequency domain and reconstruct the HRRPs by proper signal processing methods.This paper describes the mathematical model of one dimensional (1D) radar imaging

compares the imaging performance between sparse non-uniform samplings and uniform samplings from the aspect of parameter estimation

and proposes a scheme to select the non-uniform samplings with better imaging performance.Moreover

we apply both the parameter estimation method and the sparse reconstruction method to realize 1D imaging based on sparse and non-uniform frequency samplings.The anechoic chamber data are used to compare the performances of the two methods and to verify the advantages of the sparse and non-uniform frequency sampling scheme in reducing data amount and increasing range resolution.