Compressed sensing synthetic aperture radar (SAR) imaging method based on fractional order fourier transformation

A fractional-order Fourier transform and compressed sensing technology, which is applied to radio wave reflection/re-radiation, using re-radiation, measurement devices, etc., can solve the problems of mass data storage and transmission, high sampling rate, and large data volume.

Inactive Publication Date: 2013-01-16
BEIJING INSTITUTE OF TECHNOLOGYGY
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Problems solved by technology

The modern radar imaging system based on the Nyquist sampling theorem is faced with the challenges of high sampling rate, large data volume, and the difficulty of massive data storage and transmission.
In the process of processing, there is also the problem of data volume imbalance between the measurem

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  • Compressed sensing synthetic aperture radar (SAR) imaging method based on fractional order fourier transformation
  • Compressed sensing synthetic aperture radar (SAR) imaging method based on fractional order fourier transformation
  • Compressed sensing synthetic aperture radar (SAR) imaging method based on fractional order fourier transformation

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[0063] The present invention will be described in detail below with reference to the accompanying drawings and specific embodiments. It should be pointed out that the described embodiments are only intended to facilitate understanding of the present invention and do not serve as any limitation.

[0064] The present invention is a compressive sensing SAR imaging method based on fractional Fourier transform, which converts the sparsity of the target scene into the sparsity of the chirp echo signal in the fractional Fourier domain by simplifying the fractional Fourier transform, The compressed sensing model of synthetic aperture radar imaging is constructed, and the compressed sensing reconstruction algorithm is used to directly solve the result of range pulse pressure. Its implementation process is as follows figure 1 shown, including:

[0065] Step 1: For a target scene with sparse characteristics, transmit a linear frequency modulation (LFM) pulse signal;

[0066] Step 2: Co...

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Abstract

The invention provides a compressed sensing synthetic aperture radar (SAR) imaging method based on fractional order fourier transformation, and belongs to the technical field of microwave imaging. For a sparse target scene, a system emits a linear frequency modulation pulse signal; by adopting a method for projecting an echo signal to a low-dimension measurement matrix, measurement data which are much smaller than those required by a Nyquist sampling principle are acquired; due to the echo signal, after a reconstruction matrix is constructed by a simplified fractional order fourier transformation domain sparse mode and a data acquisition mode, a calculated distance pulse pressure result is optimized by a compressed sensing signal reconstruction method and is subjected to distance migration correction and direction pulse pressure to obtain a target scene imaging result. By the imaging method, the measurement data amount of a target scene with a sparse characteristic can be greatly reduced; and pressure on data storage and data transmission can be effectively relieved.

Description

technical field [0001] The invention belongs to the technical field of microwave imaging, in particular to a signal processing method for compressed sensing synthetic aperture radar (SAR) imaging based on fractional Fourier transform. Background technique [0002] Synthetic aperture radar (SAR) transmits electromagnetic pulses to the observed area through the transmitting antenna, and uses the receiving antenna to receive the radar echo to obtain the spatial distribution of the electromagnetic scattering characteristics of the target scene. As an active system, SAR actively emits microwave electromagnetic waves without relying on sunlight, and clouds, fog, and precipitation have little influence on microwaves, ensuring all-weather imaging of SAR. It has a wide range of applications in environmental protection, disaster monitoring, ocean observation, resource exploration, geological surveying and mapping, and has become an important means of high-resolution earth observation ...

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Application Information

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IPC IPC(8): G01S13/90
Inventor 陶然卜红霞辛怡白霞李洋
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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