Parallel real-time imaging processing method for inverse synthetic aperture radar

Abstract

The invention provides a parallel imaging processing method for real-time imaging of an inverse synthetic aperture radar (ISAR). Aiming at the real-time requirement of the ISAR on the imaging of a high-speed moving target, the method adopts parallel processing technology, designs a parallel processing system structure aiming at ISAR imaging, and performs corresponding parallel decomposition on an ISAR algorithm. The method realizes an ISAR imaging algorithm having causality relative to slow time through a reasonable algorithm design to make data acquisition and imaging processing simultaneously performed; and compared with the conventional ISAR imaging serial processing algorithm, the method can greatly improve the operating efficiency of the ISAR imaging so as to realize real real-time processing to facilitate practical application of the ISAR in projects.

Description

Technical field: [0001] The technical invention belongs to the technical field of radar, and in particular relates to the technical field of inverse synthetic aperture radar (ISAR) imaging. Background technique: [0002] Inverse Synthetic Aperture Radar (ISAR for short) plays a pivotal role in the field of radar imaging. Since ISAR systems often observe and identify high-speed moving targets, the real-time performance of ISAR algorithms has become an important indicator of ISAR imaging processing systems. At present, many ISAR imaging processing methods can't meet the standard of practical engineering application in terms of real-time performance. Therefore, it is very important to study the real-time performance of ISAR imaging processing for the engineering application of ISAR imaging. [0003] The traditional ISAR imaging processing method uses a serial processing algorithm, and the serial processing algorithm first collects the data, and then performs imaging processin...

AI Technical Summary

Problems solved by technology

Among them, the first two types of methods must receive all the data before performing imaging processing. From the perspective of slow time, the system has typical non-causal characteristics, and it is impossible to realize data acquisition and imaging processing at the same time; the third type of method can theoretically A causal ISAR imaging algorithm relative to slow time can be realized through reasonable algorithm design, so that data acquisition and imaging processing can be carried out simultaneously, thereby realizing real-time processing in the true sense, but as far as the inventors know, no such imaging algorithm has been seen yet. Specific implementable plan

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