Inverse synthetic aperture radar image-forming time selection method

Abstract

The invention discloses a new method for selecting imaging time of an inverse synthetic aperture radar. The method comprises the main steps of: firstly, processing echo data by distance compression and movement compensation (envelope alignment and initial phase correction), selecting a stable reference distance unit based on a normalized amplitude variance criterion, and determining a corresponding weighted coefficient; secondly; carrying out phase history estimation on echo signals of each reference distance unit, and carrying out weighting processing on the phase history of the echo signals of each reference distance unit according to the weighted coefficient so as to obtain a weighted phase; thirdly, carrying out ISAR imaging time selection according to a weighted phase curve so as to select an optimal imaging data section. The method directly carries out optimal ISAR imaging time selection processing on the echo data which is processed by the distance compression and the movement compensation. Accordingly, the method is simple in arithmetic, small in calculation, simple in engineering realization, and strong in realizability.

Description

technical field [0001] The design of the invention is a new imaging time selection method in the field of inverse synthetic aperture radar (ISAR) imaging signal processing, and is suitable for the imaging signal processing system of the ISAR system for air or sea targets. Background technique [0002] In the past ten years, great progress has been made in ISAR technology. In terms of algorithms, currently more effective ISAR imaging algorithms mainly include: FFT range-Doppler method, polar coordinate format processing method, instantaneous time-frequency imaging method, etc.; A very good application. [0003] However, for maneuvering aircraft or seagoing ships, the application of ISAR technology still faces many difficulties due to the non-cooperative nature of target movement, and further improvement and development are needed. The specific situation is that it is relatively easy to perform ISAR imaging on smooth-flying aircraft targets, and range Doppler imaging is dire...

AI Technical Summary

Problems solved by technology

Among them, the optimal imaging time selection method based on target motion parameter estimation and image Doppler broadening has a complex algorithm, a large amount of calculation, and the effect is not good in the actual measurement data processing, and the engineering implementation is difficult; the optimal imaging time based on image quality Imaging time selection method, the algorithm is simple, but the amount of calculation is large

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