Patents
Literature
Patsnap Eureka AI that helps you search prior art, draft patents, and assess FTO risks, powered by patent and scientific literature data.

2results about How to "Improve target detection probability" patented technology

Marine target feature detection method applying dynamic time sequence weight

InactiveCN119620016AadaptableReduce variance of fusion characteristicsWave based measurement systemsFeature extractionAlgorithm
The invention relates to a marine target feature detection method applying dynamic time sequence weight, and belongs to the technical field of radar detection algorithms. In order to overcome the defect that time sequence information is not fully utilized during AR model fitting in the prior art, the method comprises the following steps: step 1, carrying out feature extraction on original data to obtain observed values of features; 2, predicting the features obtained in the step 1 to obtain predicted values of the features; step 3, carrying out dynamic weighted fusion on the observation value in the step 1 and the predicted value in the step 2 to obtain a time sequence fusion value of the features; and 4, detecting the time sequence fusion value obtained in the step 3 by adopting a convex hull detector to obtain a detection probability. According to the method, the feature time sequence predicted value and the feature observed value are fused through dynamic calculation, the feature time sequence is fully utilized, the fusion feature variance is reduced, the time sequence feature separability is enhanced, and the target detection probability is improved.
Owner:NAVAL AVIATION UNIV

Multi-station radar high-speed target detection method based on axis rotation and dual-core radon cuboid phase

PendingCN122172174AAvoid computationally expensive pitfallsImprove target detection efficiencyRadio wave reradiation/reflectionRadarTarget signal
This invention proposes a multi-station radar high-speed target detection method based on axis rotation and dual-core Radon cubic phase. The implementation steps are as follows: range travel compensation is performed on the signal after second-order Keystone transform based on an improved axis rotation method; Doppler diffusion compensation is performed on the potential target signal based on the dual-core Radon cubic phase function; the data correlation results between the measured values ​​and the target are calculated, and the multi-station radar high-speed target detection results are obtained. In the range travel compensation of the second-order Keystone transform signal, this invention only rotates the fast time axis of each range block signal, improving the two-dimensional parameter search for range and velocity into a one-dimensional rotation angle search, thus reducing the computational load; the Doppler diffusion compensation of the potential target signal based on the dual-core Radon cubic phase function transforms the high-dimensional parameter search into an instantaneous frequency change rate search, improving detection efficiency and detection probability.
Owner:XIDIAN UNIV