Maneuvering weak target detection method based on dynamic planning and minimum image entropy

Abstract

The invention provides a maneuvering weak target detection method based on dynamic planning and minimum image entropy. The method comprises the steps of firstly quickly searching the most possible weak target through employing a dynamic planning method, i.e., a motion track with the maximum echo energy; extracting a target signal and performing FFT to obtain a frequency spectrum of the target signal; taking an image entropy as a cost function, using a Newton method to iteratively and rapidly search a high-order component of a target so as to minimize the image entropy of the frequency spectrum, finally determining a threshold by using a CA-CFAR, comparing a compensated frequency spectrum maximum value with a detection threshold so as to determine whether the target exists or not, and providing an effective means for maneuvering weak target detection in a radar. Therefore, the DP technology is used for searching for the possible track of the target, the operation speed is higher, rangemigration caused by target maneuvering can be corrected, coherent accumulation of signals is achieved, the operation speed is high, motion components of any order can be compensated for, and the detection efficiency and accuracy are higher in the aspect of maneuvering weak target detection in radar.

Description

technical field [0001] The invention belongs to the technical field of radar detection, in particular to a method for detecting weak maneuvering targets based on Dynamic Programming (DP) and Minimum Image Entropy (MIE). Background technique [0002] Long-term coherent accumulation methods are often used to detect weak targets. However, during the accumulation process, the target may maneuver, resulting in distance migration and Doppler frequency migration, which makes it difficult for the energy of weak targets to be effectively accumulated and detected. [0003] In the traditional coherent accumulation method, in order to solve the distance migration of the target, Keystone transformation is a commonly used method. The basic principle of Keystone transform is to decouple the Doppler frequency and time delay of the target echo signal through slow time scale transformation, so as to eliminate the influence of distance migration. However, the Keystone transformation is only ...

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Problems solved by technology

However, FrFT can only compensate for phase changes caused by acceleration, and cannot do anything about jerk and higher-order motion components

GRFT is similar to the exhaustive method. It realizes coherent accumulation by jointly searching the motion component parameters such as velocity, acceleration, and jerk. It can compensate the phase change caused by any high-order component, but it involves joint search of multiple parameters, and the amount of calculation is high. often unacceptable

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