Compressed sensing LASAR sparse linear array optimization method based on low coherence

An optimization method and wiring array technology, applied in radio wave measurement system, radio wave reflection/re-radiation, utilization of re-radiation, etc., to achieve reasonable optimization of sparse line array and improve imaging performance

Inactive Publication Date: 2016-04-13
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

However, the RIP calculation of the compressed sensing measurement matrix in the linear array 3D SAR system is a non-deterministic polynomial (NP) problem, so it is difficult to use the RIP of the measurement matrix in the compressed sensing theory as an index to measure the optimization of the LASAR sparse linear array antenna (see References "Li Xiaobo. Research on Measurement Matrix Based on Compressive Sensing. Doctoral Thesis of Beijing Jiaotong University, 2010.")

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  • Compressed sensing LASAR sparse linear array optimization method based on low coherence
  • Compressed sensing LASAR sparse linear array optimization method based on low coherence
  • Compressed sensing LASAR sparse linear array optimization method based on low coherence

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Embodiment Construction

[0058] The present invention mainly adopts the method of simulation experiment to verify, and all steps and conclusions are verified correct on MATLABR2012b software. The specific implementation steps are as follows:

[0059] Step 1. Initialize the LASAR system parameters:

[0060] Initialize LASAR system parameters include: radar platform height H = 1000m; radar working center frequency f c =35×10 9 Hz; radar carrier frequency wavelength λ = 0.00857m; signal bandwidth B of radar transmitting baseband signal r =1.5×10 8 Hz; Radar transmit signal pulse width T P =5×10 -6 s; the frequency modulation slope f of the radar transmitted signal dr =3×10 13 Hz / s; radar receiving gate duration T o =6×10 -4 s; the sampling frequency f of the radar receiving system s =3×10 8 Hz; the pulse repetition frequency PRF of the radar transmitting system = 600Hz; the pulse repetition time of the radar system PRI = 1×10 -3 s; the effective aperture length D of the antenna in the azimuth...

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Abstract

The invention discloses a compressed sensing LASAR sparse linear array optimization method based on low coherence. The method is characterized in that coherence characteristic of a measurement matrix in the compressed sensing theory is utilized as a reference basis for compressed sensing LASAR sparse linear array optimization; and on the basis of minimum of coherence of the compressed sensing measurement matrix in a LASAR system, and by means of a Fourier transform iterative search method, compressed sensing LASAR sparse linear array antenna array element distribution optimization design is realized, more reasonable sparse linear array optimization is realized, and imaging performance of the compressed sensing LASAR system is improved favorably. The method provided in the invention is also suitable for other sparse linear array antenna optimization technical fields based on compressed sensing.

Description

Technical field: [0001] The technical invention belongs to the technical field of radar, and in particular relates to the technical fields of synthetic aperture radar (SAR) imaging technology and array antenna design. Background technique: [0002] Due to its advantages of all-day, all-weather and large-scale scene observation, synthetic aperture radar (SAR) has become an important remote sensing technology for large-area topographic surveying and mapping. greater effect. Linear array SAR (LASAR) is an extension of the target dimension space resolution capability of traditional two-dimensional SAR imaging technology, which can obtain three-dimensional radar imaging of the observed target scene, and can more precisely describe the geometric and scattering characteristics of the target in the observed scene, compared with the traditional two-dimensional SAR imaging technology. Two-dimensional SAR has improved the target feature extraction and target recognition capabilities o...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S7/02G01S13/90
CPCG01S7/02G01S13/90G01S13/9094G01S13/904
Inventor 韦顺军张晓玲余鹏张博军
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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