In this paper, a novel technique for accurate velocity measurement for high speed space objects using linear frequency
modulation (LFM) radar signatures is presented. The proposed method utilizes the phase slope of the received
intermediate frequency (IF) signals from the moving object to estimate the object's kinematic parameters. Constant false
alarm rate (CFAR) detection and finite impulse response (FIR) filtering are subsequently exploited to enhance the
accuracy of the velocity estimates. Then polynomial fitting is incorporated into the phase slope analysis to further reduce
estimation errors. Simulation results demonstrate that the phase slope method is computationally efficient and accurate
for velocity estimation.
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