Double-characteristic sea surface floating small-target detection method based on sea clutter suppression

Abstract

The invention discloses a double-characteristic sea surface floating small-target detection method based on sea clutter suppression, and mainly solve the problem of the low detection probability for a small sea surface target in short observation time in the prior art. The implementation process of the method comprises the following steps: 1, block whitening is performed on a training unit time sequence and a reference unit time sequence of pure clutter data; 2, relative time frequency double-characteristic vectors of training units are extracted; 3, a convex hull is formed by utilizing the extracted characteristic vectors, and a decision region is obtained by utilizing a convex hull learning algorithm; 4, relative time frequency double-characteristic vectors of to-be-detected units are extracted; 5, a detection statistical quantity is calculated according to the convex hull forming the decision region and the relative time frequency double-characteristic vectors of the to-be-detected units; and 6, whether a target exists is judged according to the detection statistical quantity, the target is judged to exist if the detection statistical quantity is greater than zero, otherwise, the target is judged to not exist. Detection for a small floating target under a sea clutter background in short observation time can be performed, and the method can used in identification and tracking for a small sea surface floating and low-speed target.

Description

technical field [0001] The invention belongs to the technical field of signal processing, and in particular relates to a target detection method, which can be used for identifying and tracking slow and small targets floating on the sea surface. Background technique [0002] Sea clutter is the radar echo received by the radar and reflected from the sea surface. When the sea surface search radar detects the sea, especially when detecting small floating targets such as boats, ice floes, and floating objects on the sea surface, it is inevitable that there will be Affected by sea clutter. The intensity of sea clutter will vary with the radar parameters, radar irradiation direction, sea conditions, etc. In the background of high-resolution sea clutter, the clutter presents strong non-Gaussian characteristics, and the existence of sea spikes leads to a large number of false alarms in the target detection method using time-domain energy accumulation. Therefore, it is difficult for ...

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Problems solved by technology

In the document "Hu, J., Tung, W.W. and Gao, J.B.: Detection of flow observable targets with in sea clutter by structure function based multifractal analysis, IEEE Trans. Antennas Propag., 54(1): 136-143, 2006." A detection method based on the fractal characteristics of the sea surface is proposed, which can be used when the observation time is long Effective detection of targets, however, radars usually cannot perform long-term resident observations on a single wave position, so detectors based on fractal features are difficult to extend to practical applications

[0004] For the detection of small floating targets on the sea surface, many methods assume that the sea clutter satisfies a certain statistical model. However, the existing statistical models are difficult to describe the complex characteristics of sea clutter, which leads to certain limitations in the detection results; adaptive When the sea conditions are complex, that is, when the target and clutter cannot be distinguished in the Doppler domain, the detection method cannot detect floating or low-speed small targets on the sea surface; the fractal-based target detection method can achieve good results when the observation time is long. When the observation time is shortened, the detection performance will drop significantly, which cannot meet the requirements of sea search radar

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