Radar space-time adaptive processing method and device based on volume correlation function

Abstract

The embodiment of the invention provides a radar space-time adaptive processing method and device based on a volume correlation function, and the method comprises the steps: obtaining echo data of a radar in a coherent processing interval, and estimating a sampling signal subspace corresponding to a to-be-measured distance unit; based on a volume correlation function of the sampling signal subspace and the target signal subspace, obtaining the distance between the sampling signal subspace and the target signal subspace; based on the distance between the sampling signal subspace and the targetsignal subspace, obtaining detection statistics of the to-be-detected distance unit; and comparing the detection statistics of the to-be-detected distance unit with a preset threshold, and determiningwhether there is a target echo in the to-be-detected distance unit. The radar space-time adaptive processing method based on the volume correlation function provided by the invention can be applied to an airborne radar to obtain a more ideal target detection result in a space-time adaptive processing scene, especially in a non-uniform environment.

Description

technical field [0001] The invention relates to the field of radar technology, in particular to a radar space-time adaptive processing method and device based on a volume correlation function. Background technique [0002] Radar (such as airborne radar) is widely used in target detection tasks. However, there are also a large number of background echoes, namely clutter, arriving at the radar receiver together with the target echo. In actual scenarios, the energy of clutter is often stronger than the target echo. In order to achieve target detection, it is necessary to eliminate the clutter in the echo of the radar receiver, so as to provide a sufficiently high signal-to-noise ratio for subsequent detectors and ensure target detection performance. [0003] Space-time adaptive processing (STAP) technology is an efficient means of clutter suppression. In order to ensure the performance of clutter suppression, STAP technology requires a large number of independent and identical...

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Problems solved by technology

[0003] Space-time adaptive processing (STAP) technology is an efficient means of clutter suppression. In order to ensure the performance of clutter suppression, STAP technology requires a large number of independent and identically distributed training samples to estimate the statistical characteristics of clutter. However, in the non-uniform environment, it is often impossible to obtain enough uniform training samples, which leads to the decline of the clutter suppression performance of the STAP technology, and subsequently leads to the decline of the moving target detection performance.

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