Array element Doppler domain space-time two-dimensional self-adaptive processing method based on data fitting

Abstract

The invention discloses an array element Doppler domain space-time two-dimensional self-adaptive processing method based on data fitting, and relates to radar technology. The method comprises the steps that 1, array element Doppler domain dimensionality reduction echo data and space-time guide vectors are obtained; 2, a data basis matrix of a distance unit to be detected is constructed; 3, a data basis matrix with targets blocked is obtained; 4, the fitting coefficient of auxiliary echo data is obtained; 5, the minimum fitting error of data of the distance unit to be detected is obtained; 6, unit average constant false alarm rate detection is carried out on the minimum fitting error of the data of the distance unit to be detected. The array element Doppler domain space-time two-dimensional self-adaptive processing method mainly solves the problem that a traditional STAP method is huge in computation burden and strict in sample requirement, and has the good application prospect in measured data processing and STAP performance improvement.

Description

technical field [0001] The invention belongs to the technical field of communication, relates to radar technology, in particular to a data fitting-based array element Doppler domain space-time two-dimensional adaptive processing method, which is used for airborne early warning radar signal processing. Background technique [0002] The main task of airborne early warning radar is to detect targets in complex clutter background, and to locate and track them. Effective suppression of clutter is the core means to improve the performance of airborne early warning radar. Space-time adaptive processing (STAP) technology makes full use of airspace and time domain information, while coherently accumulating target signals, and filters ground clutter through space-time adaptive processing to realize airborne early warning radar For the effective detection of targets, such as the E2-D airborne early warning radar of the United States, this technology is adopted. [0003] In practical a...

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Problems solved by technology

[0005] In view of the shortcomings of the above-mentioned over-complete sparse representation method for super-resolution estimation of clutter space-time two-dimensional spectrum in a non-uniform clutter environment, the present invention proposes a space-time two-dimensional adaptive method based on data fitting The processing method realizes the detection of the target signal, solves the problems of huge amount of calculation and base mismatch in the prior art, and at the same time, compared with the traditional array element pulse domain STAP method, it improves the detection probability of moving targets and reduces the false alarm rate of detection

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