In order to counter active jamming, an adaptive polarization cancellation method based on dual-polarization radar is proposed in the paper. First, respectively being obtained by vertical and horizontal polarization channels of dual-polarization radar, the signals from the real target and active jamming are analyzed in composition and characteristic. Then, the weight coefficient is timely derived in practical scene to adjust difference of amplitude and phase of active jamming signals respectively acquired by the two orthogonal polarization channels, so the method can completely eliminate active jamming, but just a little power change for the real target signal. Furthermore, a compensating method for the target signal is developed to improve the angle measuring accuracy of monopulse radars. And the influence factors of adaptive polarization cancellation are analyzed in detail by simulation. Finally, the experimental results prove that it is very effective on both active blanket jamming and active deception jamming.

Angle deception jamming makes the monopulse radar seeker track to itself but not the real target, which is catastrophic for the guidance radar. In this paper, an adaptive technique based on dual polarization radar is presented to counter it. How angle deception jamming acts on the monopulse tracking radar is first investigated. An angle estimation technique of the real target is then derived from the conventional monopulse method, although it is being interfered with by angle deception jamming. Meanwhile, the polarization ratio characteristic of the angle deception jamming could be adaptively estimated in current practical scene. Furthermore, the similar characteristic of Jones vectors is defined as the rule to judge whether the target is being interfered with by jamming. It can make the radar seeker select different techniques for angle estimation adaptively. Finally, two major factors of angle estimation accuracy are analyzed by simulation and the effectiveness of the proposed technique is proved through experiments.

In order to counter active jamming, an adaptive polarization filtering method based on dual polarization radar is put forward. First, the signal flow principle of the dual polarization radar and its signal model are introduced. Then, the weighted coefficient matrices of the polarization filter are calculated adaptively according to the actual work situation of the current radar. Finally, the specific polarization filtering algorithm and the output criterion of the optimal filtering results are given. Experimental results show that this method does not need to know the type, quantity, combination mode, polarization characteristics, and other prior knowledge of active jamming but has well effect on both active deception jamming and active blanket jamming, so it has strong engineering application value.

The overall technology of passive radar and application overview in civil aviation are reviewed here, and the research history and status in this field are introduced. It is pointed out that the passive radar has huge application prospects in general aviation surveillance and drone surveillance of the airport terminal area. Then, the key technologies including system synchronisation, reference signal acquisition, weak target signal detection, and single‐frequency network defuzzification are analysed. Finally, the development trends of passive radar are proposed to integrate into existing air traffic management systems, multi‐band integration, and system networking, which indicates the research direction of this new radar system in civil aviation application.

Surfing Aircraft Vortices for Energy (SAVE) refers to the behavior that an aircraft “rides” on the vortex of the front aircraft just like the formation flying of migratory birds and it can also provide guidance for the aircraft that is difficult to avoid entering the front vortex, reduce the incidence of flight accidents caused by the vortex, and improve the safe operation ability of civil aviation. The technology has the advantages of saving energy and increasing range, which is a hot issue in the field of aviation research. Firstly, this paper analyzes the main research contents, technological developments and applications in the field of SAVE at home and abroad. Then discusses the key technologies of SAVE such as aerodynamic principles, control of SAVE, safety guarantee, path planning, and related experimental verification technologies. Finally, the development and application trend of SAVE technology in military and civil aviation fields and its corresponding benefits brought by it will be pointed out.

To address the challenge of accurately tracking highly maneuvering targets in complex environments, this article proposes a continuous-time target tracking algorithm based on the trajectory function of time (T-FoT). Unlike traditional discrete-time filtering methods that rely on predefined state-space models (SSMs), the proposed approach represents target motion as a continuous function of time and position and employs an incremental radial basis functions neural network (RBFNN) to approximate the trajectory in real time and obtain an explicit T-FoT expression. To enhance trajectory smoothness and stability, a second-order difference regularization term is introduced to constrain local curvature, and a dynamic basis-center adaptation mechanism is designed to improve long-horizon tracking performance. Furthermore, by integrating the recursive least squares (RLSs) method into the RBFNN framework, the prediction uncertainty is explicitly quantified, enabling interpretable and reliable confidence assessment. Simulation results show that the proposed method achieves superior accuracy, smoothness, and robustness under strong maneuvering and noise conditions, and the estimated trajectory consistently remains within the 95% confidence interval (CI), demonstrating strong anti-interference capability and reliable uncertainty modeling.