3results about How to "Achieving Interference Suppression" patented technology

The application discloses a beamforming method of a holographic MIMO antenna array based on a steering vector, and under the condition that a user end position is unknown, multiple code words are constructed based on the steering vector through the combination of the pitch angle and the azimuth angle of the user end relative to the antenna array, a code word with the maximum gain of a receiving end is selected from the code words according to the feedback of the user end, and the code word is used as the optimal transmitting or receiving coefficient of the antenna array. The user end only needs to feed back the corresponding information in sequence, the requirement for the feedback time delay is slightly low, the error code of the feedback information has a certain fault tolerance, the time complexity is relatively low compared with the exhaustive search method, the performance is good, the outdoor channel changing rapidly can be well responded, the robustness to the channel fluctuation is higher, and the overall power gain is improved. Moreover, under the condition that the user end position is known, the transmitting or receiving coefficient of the antenna array can be directly determined.

The existing time-frequency domain false target jamming suppression method generally requires high jamming parameter estimation accuracy, and the application scene is relatively limited. Therefore, the present application provides a DRFM jamming suppression method based on the spike distribution characteristics after pulse compression. The algorithm does not require prior information of jamming parameters, analyzes and summarizes the spike distribution characteristics after DRFM jamming pulse compression, counts the number of spike intervals according to the spike distribution characteristics, designs a corresponding decision threshold, thereby distinguishes the target and the jamming, and realizes the jamming suppression on this basis. The present application can suppress the false target jamming in a complex electromagnetic environment, and has a low calculation degree, and can improve the anti-jamming capability of the radar.

The application discloses a cognitive FDA-MIMO radar deception jamming suppression target detection method, comprising the following steps: acquiring a nonlinear motion target signal received on a range gate; using a nonlinear UKF filter to predict the state and weight of a sampling point set, and estimating the state of the nonlinear motion target; performing distance gate energy solving according to the nonlinear motion target signal received on the range gate, acquiring an energy gradient sequence, extracting a range gate serial number set, and respectively constructing a nonlinear motion target covariance matrix and an interference covariance matrix; suppressing the interference noise covariance matrix, and acquiring a nonlinear motion target signal power vector on all range gates; detecting the nonlinear motion target signal power vector on all range gates, and acquiring an updated nonlinear motion target signal; and tracking the updated nonlinear motion target signal. The application can improve the detection performance.