In the paper a problem of target detection in continuous-wave noise radar in the presence of impulsive external noise is addressed. Noise radar uses random or pseudo-random waveform as a sounding signal. Classical correlation receiver used in noise radar is optimal for external noise with Gaussian distribution. If the external noise has distribution different than Gaussian, for example impulsive noise, the performance of the detection is degraded. In order to restore the sensitivity lost due to the impulsive noise, a robustification method is proposed. In the method, a nonlinear function is applied to the signal in order to remove the outliers. The method is verified on real-life signals.
A new technique of identifying orientation angles of walls of buildings has been proposed in this paper. The present method is based on multilook processing. The aim of this work is to find the relationships between the received signals reflected from uniform targets (e.g. walls, parts of buildings, etc.) positioned at different orientation angles towards the radar platform. The technique is dedicated for synthetic aperture radars systems. It can be used to extend target identification in synthetic aperture radars images obtained by a single-channel antenna. In this paper, theoretical analysis is presented and verified with simulated radar data.
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