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High-frequency radar target detection method based on sparse recovery space-time spectrum estimation

A radar target, sparse recovery technology, applied in the field of radar, to achieve the effect of great military value and civil aviation management value, great application potential, and great application value

Active Publication Date: 2017-10-03
WUHAN UNIV
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0012] Aiming at the deficiencies of the prior art, the present invention provides a high-frequency radar target detection method based on sparsely restored space-time spectrum estimation, filling in the technology of detecting targets in the sea clutter area without increasing system complexity and without prior information At the same time, it solves the technical problem of multi-target detection in dense ship scenes

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Embodiment 1

[0048] Taking target detection in the first-order sea clutter area of ​​high-frequency radar as an example, the advantages of sparsely restored space-time spectrum estimation for target detection are explained. The simulated target signal is as follows: figure 1 As shown, it is difficult to detect the target signal in the time Doppler spectrum. When using the classic two-dimensional MUSIC algorithm to estimate the two-dimensional space-time spectrum, the result is as follows figure 2 As shown, due to the insufficient number of snapshots and insufficient covariance matrix statistics, it is difficult for the target signal to form an effective aggregation area. To solve this problem, follow-up processing is as follows:

[0049] Step 1: Divide the airspace dimension into a grid by 1°, the scanning range is -60°~60°, and divide the Doppler dimension by 0.01Hz, and the scanning range is the entire Doppler sampling frequency band. Step 1 constitutes a dictionary of space-time guida...

Embodiment 2

[0057] Taking target detection in the first-order sea clutter area of ​​high-frequency radar as an example, the advantages of space-time spectrum estimation based on sparse recovery for target detection are explained. The measured echo data are as follows: Figure 5 As shown, the dotted line is the AIS data of the target. When the space-time cascading scheme is used, it is difficult to detect the target only from the time Doppler spectrum because the target is covered by sea clutter. When two-dimensional estimation is performed according to the classic MUSIC algorithm, the result is as follows Image 6 As shown, it is also difficult for the target signal to form an effective accumulation area. The target is detected by sparsely restored space-time spectrum estimation, and the process is as follows:

[0058] Step 1, select 256 points sampled in the time domain of the distance unit to be detected, and each 32 points constitute a space-time snapshot. Since the number of array ch...

Embodiment 3

[0066] The process of the present invention is further described in detail with multi-target detection in dense scenes. For the time Doppler spectrum of measured data, see Figure 9 , when the two-dimensional space-time spectrum is estimated directly based on the classic MUSIC algorithm for multi-target echo data, the result is as follows Figure 10 As shown, only two targets can be detected, and the signal-to-noise ratio is low, only about 5dB. The spectral peak is not sharp enough, and it is difficult to effectively detect and distinguish multiple targets. In order to optimize the detection performance, the processing is as follows:

[0067] Step 1, select 256 points sampled in the time domain of the distance unit to be detected, and each 32 points constitute a space-time snapshot. Since the number of array channels is 8, each space-time snapshot is 256-dimensional, forming a total of 256*8 The space-time snapshot matrix of ;

[0068] Step 2: Divide the airspace dimension ...

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Abstract

The invention provides a novel high-frequency ground wave radar target detection method. For the problem of underutilization of time-space two-dimensional information of a time-space cascade scheme, a time-space joint estimation theory is introduced to optimize detection process; and for the problem of insufficient snapshots in time-space joint estimation, a multi-snapshot sparse recovery theory is introduced. The provided wide-beamwidth high-frequency ground wave radar target detection method based on sparse recovery space-time spectrum estimation solves the technical problem of target detection in a single-station high-frequency ground wave radar sea clutter area and meanwhile, optimizes multi-target detection performance under an intensive ship background.

Description

technical field [0001] The invention belongs to the field of radar, and in particular relates to high-frequency radar first-order sea clutter area target detection and multi-target detection enhancement technology, specifically a high-frequency radar target detection method based on sparse restoration space-time spectrum estimation. Background technique [0002] As an emerging marine monitoring technology, high-frequency ground wave radar has the advantages of over-the-horizon, wide range, all-weather and low cost. It is considered to be a high-tech means that can effectively monitor the exclusive economic zones of various countries. All coastal developed countries have invested in research and development, and have carried out comparative verification and application demonstration for many years. Maritime regulation is not only about sovereignty protection, but also includes search and rescue (the Malaysia Airlines incident), and traffic management. However, traditional mo...

Claims

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Application Information

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IPC IPC(8): G01S7/41
CPCG01S7/414
Inventor 陈泽宗贺超赵晨谢飞陈曦
Owner WUHAN UNIV
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