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Azimuth ambiguity strong clutter elimination method based on satellite-borne SAR-GMTI

A technology with ambiguous orientation and strong clutter, applied in the field of signal processing, can solve problems such as high system parameters, high resource requirements, sacrifice of spatial freedom, and insufficient scope of application, so as to save system airspace freedom, and have good discrimination and rejection performance , to suppress the effect of false alarms

Active Publication Date: 2022-05-13
XIDIAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the existing dual-channel system will sacrifice the spatial degree of freedom in the full polarization mode, thus sacrificing the clutter suppression ability of the GMTI
The existing technology is still not effective enough to deal with false alarms caused by azimuth ambiguous clutter in spaceborne SAR-GMTI, and has high requirements on system parameters and resources, and the scope of application is insufficient

Method used

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  • Azimuth ambiguity strong clutter elimination method based on satellite-borne SAR-GMTI
  • Azimuth ambiguity strong clutter elimination method based on satellite-borne SAR-GMTI
  • Azimuth ambiguity strong clutter elimination method based on satellite-borne SAR-GMTI

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Experimental program
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Effect test

Embodiment 1

[0064] In this embodiment, ISTAP processing is first performed on the original multi-channel received data of the spaceborne SAR to perform clutter suppression, beamforming and SAR compression processing on the received data, and then extract image slices containing moving objects, decompress the image slices and The adaptive SAR matched filter is used to refocus the image slices; finally, the different fuzzy numbers in the filter are searched, and the peak amplitudes after the RCMC and SRCMC filters are compared to realize the discrimination and elimination of azimuth fuzzy clutter.

[0065] Specifically, see figure 1 , figure 1 It is a schematic flow chart of a method for removing azimuth ambiguity and strong clutter based on spaceborne SAR-GMTI provided by an embodiment of the present invention, including the following steps:

[0066] Step 1: Obtain the original multi-channel received data of the spaceborne SAR;

[0067] Specifically, for an azimuth multi-channel SAR syst...

Embodiment 2

[0183] In this embodiment, the beneficial effects of the method for removing azimuth ambiguity and strong clutter based on the spaceborne SAR-GMTI in the first embodiment are further described through simulation experiments.

[0184] 1. Experimental conditions

[0185] The hardware platform of the simulation experiment of this embodiment is: Intel (R) Core (TM) i5-8265U CPU@1.60GHz, frequency is 1.8GHz, Nvidia GeForce MX250.

[0186] The software of the simulation experiment of the present embodiment uses matlab2016b.

[0187] In this embodiment, a spaceborne SAR-GMTI radar system is considered. The main simulation parameters are shown in Table 1. The SAR-GMTI system considered here is configured as a single aperture transmission and two apertures simultaneous reception mode. The PRF is chosen to be about 1.4 times the 6dB Doppler bandwidth, and sinc is used in the raw data simulation process 2 (·) A two-way pattern is used to modulate the azimuth signal envelope, assuming a...

Embodiment 3

[0195] In this embodiment, the beneficial effects of the method for removing azimuth ambiguity and strong clutter based on the spaceborne SAR-GMTI in Embodiment 1 are further described through actual measurement data processing.

[0196] 1. Experimental conditions

[0197] The hardware platform of the simulation experiment of this embodiment is: Intel (R) Core (TM) i5-8265U CPU@1.60GHz, frequency is 1.8GHz, Nvidia GeForce MX250.

[0198] The software of the simulation experiment of the present embodiment uses matlab2016b.

[0199] The measured data used in this example is obtained by the Gaofen-3 satellite in 2017 using the DRC-GMTI test mode. The main acquisition parameters of this test mode are shown in Table 2. There is a sloping and curved highway in the admission scene, see Figure 5 , Figure 5 is the measured data imaging scene graph. In this embodiment, the analysis will mainly focus on moving targets on the road.

[0200] Table 2 SAR-GMTI measured data acquisitio...

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Abstract

The invention relates to an azimuth ambiguity strong clutter elimination method based on spaceborne SAR-GMTI. The method comprises the following steps: step 1, acquiring original multichannel receiving data of a spaceborne SAR; 2, performing ISTAP processing on the original multi-channel received data to obtain a moving target signal response; and step 3, carrying out azimuth ambiguity strong clutter false alarm discrimination and elimination on the moving target signal response to obtain a satellite-borne SAR-GMTI result. The method does not need to additionally consume the degree of freedom of the system space, does not require the PRF to meet the DPCA condition, does not need to pair the azimuth ambiguity and the ambiguity source, is good in azimuth ambiguity clutter discrimination and elimination performance, and is suitable for single-channel SAR sea surface ship target detection and a future multi-channel satellite-borne SAR-GMTI system.

Description

technical field [0001] The invention belongs to the technical field of signal processing, and in particular relates to a method for removing azimuth ambiguity and strong clutter based on spaceborne SAR-GMTI. Background technique [0002] Compared with the traditional single-channel SAR system, the multi-channel SAR system has the ground moving target detection (GMTI) and high-resolution wide-range (HRWS) imaging capabilities by introducing additional airspace degrees of freedom, which is an important development direction of spaceborne SAR technology. However, spaceborne SAR-GMTI systems usually face severe ground clutter interference. Due to the high-speed movement of the platform, the clutter spectrum is severely broadened, resulting in multiple folds and blurring of clutter in the distance and azimuth dimensions, which seriously affects the detection of spaceborne moving targets. . When the system parameters deviate greatly from the antenna phase center offset (DPCA) con...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S13/90G01S13/50G01S7/36G01S7/40
CPCG01S13/90G01S13/9029G01S13/9064G01S13/50G01S7/36G01S7/4021
Inventor 贺雄鹏余悦廖桂生许京伟朱圣棋曾操
Owner XIDIAN UNIV
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