Sparse antenna of forward-looking array SAR system

Abstract

The invention discloses a sparse antenna of a forward-looking array SAR system. The sparse antenna comprehensively considers the aspects of array element sparse distribution, system signal-to-noise ratio, two-dimensional imaging quality and the like, studies basic configuration methods of adopting a short dense-distribution even transmitting array and a long sparse even receiving array, and utilizes a zero point of a transmitting beam to suppress received grating lobe and beam scanning to realize effectively coverage of an observation strip. The sparse antenna greatly reduces a number of arrayelements, and has the advantages of: 1, a transmitting antenna adopts a long array antenna to form a narrow beam and improves the transmitting gain, the large receiving array antenna gap provides space for improving the receiving array element gain appropriately, and finally a signal-to-noise ratio of a received echo is finally improved; 2, the transmitting narrow beam reduces a scene width of each beam, and provides a condition for adopting a simple and efficient cross-course range migration correction algorithm; 3, and the even distribution of the receiving array elements enables rapid algorithms such as an FFT to be adopted during cross-course imaging, and the algorithm efficiency is further improved.

Description

technical field [0001] The invention belongs to the field of radar antenna design and signal acquisition, and relates to a sparse antenna of a forward-looking array SAR system. Background technique [0002] In the field of radar three-dimensional imaging, forward-looking array SAR has attracted the attention of many scientific research institutions and researchers in recent years. It uses a real-aperture array antenna for low-altitude and close-range earth observation of high-frequency (Ka, Ku, etc.) radars. Applications such as autonomous navigation and landing offer a new way to work 24 / 7. Forward-looking array SAR adopts matched filtering of broadband transmission signals to achieve high resolution in the range direction, uses beamforming of cross-course array antennas to achieve high resolution across directions, and uses virtual aperture synthesis of multiple pulses along the course to achieve high resolution along the course. Realize the three-dimensional imaging of ...

AI Technical Summary

Problems solved by technology

At present, the forward-looking array SAR system faces the following problems in the design of the array antenna: due to the long array length and short signal wavelength, the traditional dense array antenna usually requires hundreds or thousands of array elements, resulting in high antenna cost and design complexity. Limits the Effective Realization of Forward-Looking Array SAR System

[0003] At present, there are mainly three methods that can effectively reduce the number of forward-looking array SAR array elements: one is the non-uniform sparse array method, the main literature is Lu Lan and Zhang Xiaoling published in "Computer Engineering and Application" in 2012 "based on The forward-looking 3D SAR model of optimized linear array by simulated annealing method”; this method reduces the number of array elements to a certain extent and avoids imaging grating lobes, but the non-uniform arrangement is not conducive to the rapid processing of cross-direction imaging, and the array’s very limited sparsity

The second is the multiple-input multiple-output (MIMO) technology. The main documents include Ma Chao, Gu Hong, etc. published in the "Journal of Radio Science" in 2015, "Airborne Forward-Looking Radar Imaging Algorithm with Multiple Input and Multiple Output Arrays" and WeiβM., Gilles M. published "Initial ARTINO RadarExperiments" on "EuropeanConference on Synthetic Aperture Radar" in 2010; they respectively proposed array antenna sparse distribution schemes based on time-division coherent MIMO, which effectively reduced the number of array elements, but due to the transmission and The aperture of the receiving array element is only slightly larger than half of the wavelength, and the transmitting and receiving gains are very limited, resulting in a small radar range or a low echo signal-to-noise ratio

The third is the array sparse sampling and compressed sensing method. The main literatures include "Research on 3D Imaging Method of Linear Array SAR Based on Compressive Sensing" published in "Acta Astronautics" by Wei Shunjun and Zhang Xiaoling in 2011, and Gao Lei and Zeng Yonghu et al. in 2014. "Design of array for airborne forward looking SAR based on compressed sensing" published in "IEEE International Conference on Signal Processing, Communications and Computing" in 2009; they not only effectively reduce the number of array elements, but also achieve cross-course super-resolution to a certain extent , but because they assume that the ground scattering source is sparse, but in reality most of the radar complex images are not very sparse, and the computational complexity is very large, which limits its further application

It can be seen that the above methods have some insurmountable problems in practical application, which limit their effective application.

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