Abstract
As we know, in the HRR RADARs we face range walking phenomenon, in fact, when a target moves during a CPI (Coherent Processing Interval), target returns from different scattering centers of the target produce different patterns in successive scans, this causes range walking. Therefore make the Performance of Conventional methods to maximize signal to noise ratio inefficient. Our solution for this problem uses the Hough transform which employs the slope-intercept parameter space. In this paper we investigate the performance of Hough transform-based detector for HRR RADAR signals, in the presence of Weibull and Rayleigh distributed clutter for non-fluctuating and four types of Swerling targets we also consider the effect of the velocity of target and number of pulses. The performance of target detection of Hough transform-based detector is analyzed through Monte-Carlo simulation runs.
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