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Radial motion compensation based on adaptive profile estimation

We describe three different processing approaches for stepped-frequency high-resolution radar that allow for the estimation of target motion parameters along the line of sight. Accurate knowledge of the motion parameters is necessary to generate a focused range-doppler image of the target. The approached adopted for this purpose are based upon the inverse discrete Fourier transform (IDFT), the modified chirp z-transform, and Prony's method. Estimates produced by these approaches are compared to each other as well as to the target's actual parameters. The IDFT approach, which is the standard procedure, requires zero padding to yield accurate estimates of the actual motion parameters and tends to be computationally intensive. The modified chirp z-transform approach yields accurate estimates with high computational efficiency for a wide SNR range. Prony's method proves to be a more robust approach for higher SNR. Considering these results, an MCZT adaptive algorithm for motion compensation is formulated which guarantees a well focused image.