A Characterization Method of Target Fluctuation Characteristics Based on Coherent Cumulative Gain

Abstract

The invention discloses a method for characterization of target fluctuation characteristics based on coherent cumulative gain, including the following steps: Step 1, the echo data received by the radar is denoted as X, where X is a J×K-dimensional complex matrix, and J and K are respectively The number of distance units and the number of pulses of the radar echo data; step 2, divide the radar echo data X into blocks according to the length N in the pulse dimension, and step 3, divide the corresponding distance of the target to be analyzed on the lth pulse block The unit is marked as D l , and the remaining steps. Compared with the existing method based on statistical distribution modeling, the method of the invention solves the problem that the fluctuation characteristics of the weak target are difficult to extract, and enables the fluctuation characteristics of the weak target to be characterized, so that the weak target can be statistically analyzed.

Description

technical field [0001] The invention belongs to the research field of radar sea target detection and recognition, in particular to a radar sea target fluctuating characteristic characterization method in the field, which can be used for radar sea target feature extraction. Background technique [0002] Because low-resolution radar has the advantages of principle and simple structure, low-resolution radar is still the main body of warning radar for a long time, so the research on target characteristics of low-resolution radar is of great significance. For nearly half a century, a lot of research has been done on low-resolution radar target recognition at home and abroad. It is believed that the measurement capability of low-resolution radar target characteristic signals is not enough to complete the task of stably identifying targets in a complex battlefield environment, but at the same time It is also believed that low-resolution radar has potential in target recognition, so...

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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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