Wideband radar detecting method for correcting correlation matrix based on high resolution target distance image

Abstract

The invention provides a method for detecting a broadband radar on the basis of continuous high-resolution target distance image-correction correlation matrix, and the method comprises the following steps: (1) standard deviation estimation is carried out to the noise of distance images that contain noise; (2) based on the standard deviation, a set of non-linear contraction mapping is established,and then the distance images that contain noise are refined according to the contraction mapping, thus obtaining refined multi-pulse distance images; (3) based on the multi-pulse distance images, cross correlation coefficient between every two refined distance images is calculated, thus obtaining a corrected cross correlation coefficient matrix; (4) the cross correlation coefficient matrixes are accumulated to establish the detecting statistic value, and the detecting threshold of current noise variance is set; (5) the detecting statistic value and the detecting threshold are compared to judge whether the target exists. The method has the advantages of cross distance unit detection and multi-pulse accumulation and is used for detecting a non-cooperative target under unknown prior information condition.

Description

technical field [0001] The invention belongs to the technical field of target detection, and in particular relates to a detection method of a wideband radar, which is used for target detection in a wideband radar system. Background technique [0002] Wideband Radar (WBR) or Ultra Wideband Radar (UWB) can resolve a target into many independent scattering points, and the number of resolved scattering points depends on the expansion of the target in the radial range of the radar and the range resolution capability of the radar. It is well known that the range resolution is inversely proportional to the bandwidth of the radar's transmit waveform. The echoes of wideband radar and ultra-wideband radar contain a large amount of target information, which are usually used in target imaging, identification and classification. If the target undergoes radial motion or attitude change during the accumulation process, its high-resolution range image will vary from pulse to pulse. This i...

AI Technical Summary

Problems solved by technology

In the existing detection technology, some ideal assumptions are often made for the target, but the usual detection technology often ignores the distance walking of the range image, or assumes that the target is moving at a low speed, and requires some prior knowledge about the target

However, for the practical broadband radar detection problem, for high-speed moving flying targets, walking across distances is unavoidable, and it is also difficult to obtain some prior knowledge of the target

[0004] The main shortcoming of the current wideband radar detection technology is: designing a distributed target detection scheme under the assumptions in advance

In the usual detection scheme, it is often difficult to obtain ideal detection performance under the condition of low signal-to-noise ratio, and it is difficult to achieve multi-pulse accumulation due to the limitation of ideal assumptions.

Images