Generalized binary barker sequences and their application to radar technology

Holubnychyi, A. G.

doi:10.1109/sps.2013.6623610

Cited by 7 publications

(3 citation statements)

References 6 publications

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“…Barker sequences are pseudo‐random sequences with fixed patterns and duty cycles of about 50%, widely used in electronics and radar technology [18, 19]. Fig.…”

Section: 3d Imaging Modelmentioning

confidence: 99%

Sparse sampling‐based microwave 3D imaging using interferometry and frequency‐domain principal component analysis

2017

IET Radar Sonar & Navi

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Microwave radar 3D imaging with high resolution generally requires a great number of samples. The authors aim at accurate reconstruction of microwave radar images while significantly reducing the required number of samples. A novel algorithm is proposed which realises sparse sampling with nearly 50% data reduction and high-quality restoration, based on interferometry and principal component analysis (PCA) in frequency domain. Interferometric processing is utilised to concentrate the frequency spectrum into low-frequency stage, thereby reaching an effective sparse representation of radar image. Furthermore, PCA is introduced to reform radar image according to its principal characteristics in frequency spectrum, without side-lobe artefacts and receiver noise. Experimental data in anechoic chamber demonstrates the great potential of the proposed approach.

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“…Barker sequences are pseudo‐random sequences with fixed patterns and duty cycles of about 50%, widely used in electronics and radar technology [18, 19]. Fig.…”

Section: 3d Imaging Modelmentioning

confidence: 99%

Sparse sampling‐based microwave 3D imaging using interferometry and frequency‐domain principal component analysis

2017

IET Radar Sonar & Navi

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“…Compared with the spaceborne SAR sparse flight 3-D imaging method based on back projection (BP) and CS [24], the method presented in this paper has low computational complexity as well as short running time. Furthermore, the simulation results of sparse flight with 7-bit Barker code [25,26] orbits (7BCO) are given as a reference and comparison for simulation results of sparse flight with ATSO to demonstrate the significance of orbits distribution to imaging quality.…”

Section: Introductionmentioning

confidence: 99%

Sparse flight spotlight mode 3-D imaging of spaceborne SAR based on sparse spectrum and principal component analysis

Zhou¹,

cui³

et al. 2021

J. of Syst. Eng. Electron.

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The spaceborne synthetic aperture radar (SAR) sparse flight 3-D imaging technology through multiple observations of the cross-track direction is designed to form the crosstrack equivalent aperture, and achieve the third dimensionality recognition. In this paper, combined with the actual triple star orbits, a sparse flight spaceborne SAR 3-D imaging method based on the sparse spectrum of interferometry and the principal component analysis (PCA) is presented. Firstly, interferometric processing is utilized to reach an effective sparse representation of radar images in the frequency domain. Secondly, as a method with simple principle and fast calculation, the PCA is introduced to extract the main features of the image spectrum according to its principal characteristics. Finally, the 3-D image can be obtained by inverse transformation of the reconstructed spectrum by the PCA. The simulation results of 4.84 km equivalent crosstrack aperture and corresponding 1.78 m cross-track resolution verify the effective suppression of this method on high-frequency sidelobe noise introduced by sparse flight with a sparsity of 49% and random noise introduced by the receiver. Meanwhile, due to the influence of orbit distribution of the actual triple star orbits, the simulation results of the sparse flight with the 7-bit Barker code orbits are given as a comparison and reference to illuminate the significance of orbit distribution for this reconstruction results. This method has prospects for sparse flight 3-D imaging in high latitude areas for its short revisit period.

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“…Binary sequences were initially investigated for the purpose of pulse compression in radar systems. This method results in better range and Doppler resolution without the need to shorten a radar pulse nor increase the power [11,12].…”

Section: Introductionmentioning

confidence: 99%

Design of Binary Coded Pulse Trains with Good Autocorrelation Properties for Radar Communications

Rosli

Rahim

Ngadiran

et al. 2018

MATEC Web of Conferences

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Finite length of sequences that are modulated both in phase and amplitude and have an ideal autocorrelation function (ACF) consisting of merely a pulse have many applications in control and communication systems. They are widely applied in control and communication systems, such as in pulse compression systems for radar and deep-space ranging problems [1-5]. In radar design, the important part is to choose a waveform, which is suitable to be transmitted because the waveform controls resolution in clutter performance. In addition, it can solve a general signal problem particularly related to the digital processing. Energy ratio (ER), total side lobe energy (SLE), and peak sidelobe level (PSL) are three properties of such sequences interest. This paper presents a method using the Complementation, Cyclic Shift and Bit Addition for synthesizing and optimizing a binary sequence implemented to improve the sequences of a similar quality with the Barker sequence, particularly for lengths greater than 13. All of these methods are guided by the specific parameter with good characteristics in ACF (ER, SLE, and PSL) [6,7,8]. Such sequences can then be effectively used to improve the range and Doppler resolution of radars.

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Generalized binary barker sequences and their application to radar technology

Cited by 7 publications

References 6 publications

Sparse sampling‐based microwave 3D imaging using interferometry and frequency‐domain principal component analysis

Sparse sampling‐based microwave 3D imaging using interferometry and frequency‐domain principal component analysis

Sparse flight spotlight mode 3-D imaging of spaceborne SAR based on sparse spectrum and principal component analysis

Design of Binary Coded Pulse Trains with Good Autocorrelation Properties for Radar Communications

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