Target fluctuation characteristic characterization method based on coherent cumulative gain

Abstract

The invention discloses a target fluctuation characteristic characterization method based on coherent accumulation gain. The method comprises steps that step 1, radar receives echo data and records the echo data as X, the X is a J*K-dimensional complex matrix, and J and K are the number of distance units and the number of pulses of the radar echo data respectively; 2, partitioning of the radar echo data X on a pulse dimension is performed according to the length N, 3, a distance unit corresponding to a target to be analyzed on the lth pulse block is recorded as D1, and the rest steps. Comparedwith a method based on statistical distribution modeling in the prior art, the method is advantaged in that a problem that fluctuation characteristics of the weak target are difficult to extract is solved, the fluctuation characteristics of the weak target are represented, and thereby statistical analysis of the weak target can be conducted.

Description

technical field [0001] The invention belongs to the research field of radar maritime target detection and identification, and particularly relates to a method for characterizing fluctuation characteristics of radar maritime targets in the field, which can be used for feature extraction of radar maritime targets. Background technique [0002] Because low-resolution radar has the advantages of simple principle and structure, low-resolution radar is still the main body of warning radar for a long period of time, so the research on target characteristics of low-resolution radar is of great significance. In the past half a century, a lot of research has been done on low-resolution radar target recognition at home and abroad. It is also believed that low-resolution radar has potential in target recognition, so research in this field has not been interrupted. [0003] Target RCS and its fluctuation characteristics are one of the main features available for low-resolution radar tar...

AI Technical Summary

Problems solved by technology

For strong targets at sea, the target RCS fluctuation characteristics can be analyzed through the obtained target RCS time series, and then feature extraction based on statistical distribution and corresponding models, while for weak targets at sea, the difference between the strength of the target and the intensity of clutter is small , the target signal and clutter in the echo cannot be separated and the clutter has a great influence, so it is difficult to obtain the RCS time series of weak targets, so that it is impossible to extract target fluctuation features based on statistical distribution

In addition, the analysis of target fluctuation characteristics based on statistical distribution modeling requires a large number of statistical samples to obtain more accurate statistical distribution results, and the acquisition of a large number of statistical samples for the same target can only be obtained by long-term observation of the target's limited orientation, which is very important for practical applications. It is difficult to meet the requirements for radar in the application

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