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A Range Extended Object Detection Method Based on Sparse Representation and Time-Frequency Features

A technology of distance expansion target and time-frequency feature, which is applied in the field of distance expansion target detection under Gaussian white noise background, can solve the problems of detection performance degradation and large amount of calculation, and achieve the effect of improving detection performance

Active Publication Date: 2019-11-22
SHAANXI HUANGHE GROUP
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Problems solved by technology

Although this type of detector has constant false alarm characteristics and can detect high-speed maneuvering targets, it has a large amount of computation, and its detection performance will decrease as the number of selected singular values ​​increases.

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  • A Range Extended Object Detection Method Based on Sparse Representation and Time-Frequency Features
  • A Range Extended Object Detection Method Based on Sparse Representation and Time-Frequency Features
  • A Range Extended Object Detection Method Based on Sparse Representation and Time-Frequency Features

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Embodiment Construction

[0018] The present invention will be further described below in conjunction with the accompanying drawings and embodiments, and the present invention includes but not limited to the following embodiments.

[0019] The invention introduces the sparse representation theory into the target detection field, improves the detection performance of the detector by using the denoising ability of the reconstruction algorithm, and can be used for the detection of high-speed maneuvering targets.

[0020] The technical key of realizing the object of the present invention is to sample the echo signal of the broadband radar after the de-skewing process, utilize the sparse representation theory to reconstruct the one-dimensional range image by the CAMP algorithm, and obtain the strongest scattering point (by the proposed method) of the distance expansion target One of the bases in the constructed complex single-frequency signal base), and a quasi-ambiguous function is constructed from the base...

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Abstract

The invention provides a detection method for a distance expanded target based on sparse representation and time-frequency characteristics. Echo signals, after dechirp, of a broadband radar are sampled and processed, a one-dimensional distance image is reconstructed via a CAMP algorithm by utilizing a sparse representation theory, a strongest scattering point of the distance expanded target is obtained, a quasi-fuzzy function is constructed via a base corresponding to the strongest scattering point and a denoised echo signal, a constant false alarm detector of the distance expanded target based on the quasi-fuzzy function is established, and the high-speed movement target is detected. The method can be used to realize target detection effectively and improve the detection performance.

Description

technical field [0001] The invention belongs to the technical field of radar, and relates to a method for detecting a distance-extended target under the background of Gaussian white noise. Background technique [0002] In the Gaussian white noise background, the detection of range-extended targets is a research hotspot in the field of signal processing. At present, the range-extended target detectors proposed by scholars can be roughly divided into the following categories: 1. The spatial density-based generalized likelihood ratio detector (SSD-GLRT) proposed by Gerlach and Steiner in 1997, denoising by nonlinear mapping Finally, the one-dimensional range image of the range-expanded target is integrated in the range direction to realize target detection. Although this type of detector has a small amount of computation, its detection performance is not good; 2. In 2011, Shui Penglang et al. proposed a range-extended target detection based on waveform entropy, which calculate...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S7/41
CPCG01S7/414
Inventor 张晓伟殷俊丽杨咚咚
Owner SHAANXI HUANGHE GROUP