Space-Time Adaptive Processing (STAP) technology has advantages in clutter suppression and is gradually applied to radar jamming suppression. In this paper, three algorithms of STAP have been compared: the Displaced Phase Center Antenna (DPCA) algorithm, Sample Matrix Inversion (SMI) algorithm, and the Adaptive Displaced Phase Center Antenna (ADPCA) algorithm. The simulation of anti-jamming by them is carried out through the new MATLAB Radar Toolbox. Experimental results show that the SMI algorithm and ADPCA algorithm can suppress interference.
KEYWORDS: Radar, Signal to noise ratio, Target detection, MATLAB, Antennas, Signal detection, Signal attenuation, Environmental sensing, Visualization, Performance modeling
Analysis of radars systems requires representing the radar operation and performance in the context of the overall system and the external environment. The radar performance must be evaluated, and the impact of radar operation on system performance must be quantified. In this paper, we simulate radar system by using the Radar Designer app in MATLAB, analysis the system to decide whether a set of performance requirements, such as pd and SNR, have been satisfied according to the specifications. This paper also discusses the loss of radar system in rain, and the performance of radar system when detecting Small UAS.
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