Method for detecting dual-channel SAR moving target based on compressive sensing

A technology of moving target detection and compressed sensing, applied in the field of microwave remote sensing, can solve problems such as the number of difficult-to-detect channels and data volume, huge data transmission and storage, submersion of slow-moving targets, etc., and achieve strong practical application value and strong adaptability , the effect of reducing the amount of data

Active Publication Date: 2016-08-10
HARBIN INST OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention solves the problem that the existing single-channel SAR-GMTI system broadens the ground clutter spectrum due to platform movement, making slow-moving targets submerged in it and making it difficult to detect, and the multi-chann

Method used

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  • Method for detecting dual-channel SAR moving target based on compressive sensing
  • Method for detecting dual-channel SAR moving target based on compressive sensing
  • Method for detecting dual-channel SAR moving target based on compressive sensing

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specific Embodiment approach 1

[0025] Embodiment 1. A method for detecting a moving target based on compressed sensing in dual-channel SAR described in this embodiment is carried out in the following steps:

[0026] Step 1: Raw data of dual-channel SAR is sparsely sampled along the azimuth direction;

[0027] Step 2: Preprocessing of dual-channel SAR echoes: range-wise pulse compression; range migration correction; clutter suppression processing;

[0028] Step 3: construct the observation matrix according to the SAR echo model;

[0029] Step 4: Use the Bayesian sparse reconstruction algorithm to realize the reconstruction of the scattering coefficient of the moving target.

[0030] This embodiment includes the following beneficial effects:

[0031] 1. The sparse sampling echo model adopted in this embodiment does not need to satisfy the Nyauist sampling theorem, which can effectively reduce the amount of data;

[0032] 2. In this embodiment, the clutter suppression processing of the echo data makes the m...

specific Embodiment approach 2

[0035] Specific Embodiment 2. This embodiment is a further description of the method for detecting a moving target in dual-channel SAR based on compressed sensing described in Embodiment 1. The specific implementation of the sparse sampling of dual-channel SAR raw data described in Step 1 The process is as follows:

[0036] Different from the traditional SAR method of transmitting and receiving pulses at equal intervals along the azimuth direction, in this method, random sparse sampling along the azimuth direction is used to reduce the original sampling data, and channel 1 randomly transmits pulses along the azimuth direction, and channel 1 and channel 2 receive pulses at the same time signal, synthetic aperture time T a A total of M pulses are randomly transmitted and received, and the azimuth slow time is expressed as:

[0037] t m = { t 1 , t 2 ...

specific Embodiment approach 3

[0038] Specific Embodiment 3. This embodiment is a further description of the method for detecting a moving target in dual-channel SAR based on compressed sensing described in Embodiment 1 or 2. The preprocessing of the dual-channel SAR echo described in step 2 The specific process is as follows:

[0039] combine figure 2 The geometric structure diagram of the dual-channel SAR moving target detection method, illustrating the preprocessing process of the dual-channel SAR echo, the SAR works in the side-view mode, the height of the platform from the ground is H, and the aircraft moves at a constant speed along the x-axis with the speed v. Two antennas 1 and 2 are placed in the flight direction, the distance between them is d, the LFM signal is transmitted by antenna 1, and the echo signal is received by the two antennas at the same time, at t m = 0, the coordinates of antenna 1 and 2 are (0,0,h) and (-d,0,h) respectively, and the coordinates of the moving target are (x 0 ,y ...

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Abstract

The invention relates to the technical field of microwave remote sensing and especially relates to a method for detecting dual-channel SAR moving target based on compressive sensing. The method solves the following problems: in an SAR-GMTI system in the prior art, due to the widely-spread ground clutter frequency spectrum caused by platform movement, slow moving targets are buried and thus difficult to detect; and large channel number and large data size in the multi-channel SAR system cause a large pressure to data transmission and storage. The method comprises the following steps: 1. sparse sampling of the dual-channel SAR original data in the azimuth direction; 2. pretreatment of dual-channel SAR echoes: range direction pulse compression, distance migration correction, and clutter suppression treatment; 3. pretreatment of dual-channel SAR echoes; and 4. reconstruction of moving target scattering coefficient by means of the Bayes sparse reconstruction algorithm. The method can be applied in technical field of microwave remote sensing.

Description

technical field [0001] The invention relates to the technical field of microwave remote sensing, in particular to a method for detecting a moving target in dual-channel SAR based on compressed sensing. Background technique [0002] Synthetic Aperture Radar (SAR) is a high-resolution imaging radar with the characteristics of all-day, all-weather, and long-distance, and can provide rich information on surface electromagnetic scattering characteristics. The SAR system realizes Ground Moving Target Indication (GMTI) on the basis of its inherent imaging, that is, it uses signal processing technology to realize the detection of ground moving targets while imaging static scenes, and finally obtains the real position and location of the target. Motion parameters are annotated in high-resolution images on the ground to realize the combination of early warning and surveying and mapping. The single-channel SAR-GMTI system broadens the ground clutter spectrum due to platform movement, ...

Claims

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Application Information

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IPC IPC(8): G01S13/90G01S7/292
CPCG01S7/2923G01S13/9029
Inventor 张云穆慧琳李宏博郭怡冉
Owner HARBIN INST OF TECH
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