In the paper output signals of adaptive beamformer of a land-based AESA (Active Electronically Scanned Array)  surveillance radar were analysed for simulated air picture. Obtained results were compared with those achieved from classical beamforming technique used typically with little ambient interference, in fully customisable parameters of environment and simulated object. Received data was processed by a monopulse based angle estimator. Selected methods of adaptive beamforming techniques were analysed and classified by their ability to improve signal-tointerference ratio in a given scenario for ABT (Air-Breathing Threats) objects. Obtained results were confronted with expected deformations in main lobe of antenna directional pattern and their effect on accuracy of estimated angle. Object’s parameters calculated using adaptive beamforming techniques were compared with those received when no improvement of signal-to-interference ratio technique was used. The possibility of applying multiple (adaptive) monopulse ratio curves for multiple antenna patterns in manual, automatic or semi-automatic mode was investigated.
In the paper one of high range resolution methods – Aperture Sampling – was analysed. Unlike MUSIC based techniques it proved to be very efficient in terms of achieving unambiguous synthetic range profile for ultra-wideband stepped frequency continuous wave radar. Assuming that minimal distance required to separate two targets in depth (distance) corresponds to -3 dB width of received echo, AS provided a 30,8 % improvement in range resolution in analysed scenario, when compared to results of applying IFFT. Output data is far superior in terms of both improved range resolution and reduced side lobe level than used typically in this area Inverse Fourier Transform. Furthermore it does not require prior knowledge or an estimate of number of targets to be detected in a given scan.