Group target identification method based on high-resolution range-profile and single-pulse measurement angle

Abstract

The invention relates to a group target identification method based on a high-resolution range-profile and a single-pulse measurement angle. The method is used for radar group target identification. For the disadvantages that the traditional group target identification method requires each sub-target to move relative to a radar and the computation burden is comparatively large, the invention provides the group target identification method based on the high-resolution range-profile and the single-pulse measurement angle. Based on the high-resolution range-profile and the single-pulse measurement angle information, the clustering is accomplished by adopting a mean value drifting clustering algorithm on a two-dimensional plane, and HRRPs of various sub-targets are extracted without utilizingmovement information of the target; the method has no constraint on a condition whether each sub-target is in movement, and a requirement of requiring each sub-target to move relative to the radar inthe traditional method is solved. By utilizing scattering point amplitude information, the method improves the traditional mean value drifting clustering algorithm from two aspects: initial value selection and sample weight, the iteration efficiency of the mean value drifting algorithm is improved, and the problem that the traditional method is large in computation burden is solved.

Description

technical field [0001] The invention relates to the field of radar signal processing, in particular to radar group target recognition processing, and proposes a new method for group target recognition based on high-resolution range image and single-pulse angle measurement. The number of targets has no constraints on the movement of each sub-target, and the proposed method has high noise robustness and a small amount of computation. Background technique [0002] Radar target recognition is an important function of the radar system. The High Resolution Range Profile (HRRP) reflects the geometric structure information of the target in the direction of the radar line of sight, and is easy to obtain and process. Therefore, HRRP has been widely used in the field of radar target recognition. Wide range of applications. Monopulse radar has been widely used because of its high angle tracking accuracy, strong anti-interference ability, and high data rate. When there are group target...

AI Technical Summary

Problems solved by technology

The limitation of this idea is that different targets are required to have different velocities. For multiple targets with the same velocities or all stationary, they cannot be separated.

The third is to distinguish based on the group target echo synthesis model, and obtain two target high-resolution angle estimates through the instantaneous matching moment method, model simplified likelihood solution and maximum likelihood estimation. Such methods cannot extract the HRRP of each target, and also It is impossible to complete target recognition based on HRRP

The complexity of this method is high and the workload is relatively large

[0004] To sum up, the main shortcomings of the traditional method are two aspects: one is that each sub-target is required to move relative to the radar, and the relative Doppler information needs to be used, When each sub-target is stationary relative to the radar, it cannot be identified; second, the computational complexity is relatively large

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