At present, it is critical to protect radar and communication systems from interference. As technology continues to advance, ensuring the stability and security of these systems is becoming more and more important to maintain normal operation and communication quality. In this paper, an anti-jamming technique based on cyclic prediction optimal Kalman filter (CPOKF) based on pseudo-code phase modulation fuse pulse is introduced. In order to improve the anti-jamming ability of the pseudo-random code pulse Doppler fuse, on the basis of the analysis of its working and anti-jamming principle, the Kalman filter parameters were optimized by using the Crested Porcupine Optimizer (CPO), and a CPOKF algorithm was proposed to simulate the pseudo-code pulsed Doppler signal under active suppression interference. The results show that the anti-interference performance index of the filtered signal of the proposed algorithm is better than that of the fixed-parameter Kalman filter signal, and the anti-interference performance is better.
Aiming at infrared dim small target detection, this paper proposed a spatial and temporal fusion detection algorithm based on mathematical morphology. Firstly, the obtained infrared image is filtered in spatial domain by morphological Top-hat filtering, so that most of the background and clutter in the original infrared image are suppressed. In time domain, some fixed background is removed and the target is enhanced by three frame difference filtering, and the corresponding rules are used for fusion. The fused image is segmented by adaptive threshold to obtain the potential target points. Finally, according to the characteristics that the real target has continuity and regularity in time domain and the noise points are randomly distributed, the pipeline filtering algorithm is used to further filter the false alarm points and detect the motion trajectory of the target. Simulation results show that comparing with the Top-hat filtering and the time domain three frame filtering algorithm, the proposed fusion algorithm can effectively detect the target and accurately detect the false alarm target correctly.
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