Chinese Academy of Sciences

Other

Yunkai Deng

Yu Wang

Wei Wang

Guodong Jin

Heng Zhang

Kaiyu Liu

Dacheng Liu

Yi Zhang

Lei Guo

Ning Li

Yue Liu

Zhimin Zhang

Pengfei Zhao

Feng Hong

Yongwei Zhang

Yunfeng Shao

Yajun Long

Chunhui Zhou

Yafeng Chen

Weidong Yu

Jiangwen Tang

Jili Wang

Yu Sha

Tingzhu Fang

Da Liang

Haoyu Lin

Liying Xu

Yabo Liu

Yashi Zhou

Qingchao Zhao

Fengjun Zhao

Jiang Ni

Xiulian Luo

Richu Jin

Chunle Wang

Shuo Zhao

A method and a device for separating echo signals of STWE SAR in elevation are provided. The method includes that: aliasing echo signals of multiple sub-swaths are received; for a target sub-swath of the multiple sub-swaths, multiple sub-beams associated with the target sub-swath are generated, the multiple sub-beams pointing to different directions of the target sub-swath respectively, and a null of each of the multiple sub-beams being used for deep nulling suppression on echo signals of sub-swaths except the target sub-swath; and the aliasing echo signals are processed based on the multiple sub-beams and multiple nulls corresponding to the multiple sub-beams to generate a target echo signal of the target sub-swath.

Method and device for separating echo signals of space-time waveform encoding synthetic aperture radar in elevation

A method and device for suppressing range ambiguity and a computer readable storage medium are provided. The method includes: determining a pulse timing relationship of a transmission signal; determining orthogonal nonlinear frequency modulation signals; modulating the transmission signal by using the orthogonal nonlinear frequency modulation signals; transmitting the modulated transmission signal according to the pulse timing relationship, and determining echo data of the modulated transmission signal; and generating an image according to a polarization scattering matrix for the echo data of the modulated transmission signal.

Method and device for suppressing range ambiguity

A method and apparatus for generating a NLFM signal in real time, and a computer storage medium are disclosed, including: determining a signal parameter of a signal according to a system parameter, the signal parameter includes: a signal bandwidth, a signal pulse width and a PSLR; determining a power spectrum density function according to PSLR; calculating the power spectrum density function to obtain a group delay vector; calculating a frequency axial vector according to a system sampling rate; calculating a time axial vector according to the signal pulse width; performing linear interpolation calculation on the group delay vector to obtain an instantaneous frequency vector; integrating the instantaneous frequency vector to obtain a phase vector; determining a signal time domain discrete vector; and generating a digital signal according to the signal time domain discrete vector, and performing digital-to-analog conversion on the digital signal to obtain the NLFM signal.

Method and apparatus for generating non-linear frequency modulation signal in real time and computer storage medium

A method for space-variance correction imaging of BiSAR includes: motion parameters corresponding to a target point in an equivalent monostatic mode are calculated using a first motion trajectory, a second motion trajectory and an imaging parameter for focusing a radar echo signal, the target point at least including a center point of an imaging scene; azimuth Doppler center bias correction is performed on the radar echo signal by using the motion parameters corresponding to the center point; uniform and residual range cell migration correction is performed on a corrected signal, range blocking is performed, and range space-variance phase errors are corrected block by block; azimuth blocking is performed, and a corresponding number of filters are constructed for filtering processing; and inverse Doppler center bias correction is further performed to obtain a final imaging result graph.

Method and apparatus for space-variance correction imaging of bistatic SAR, device and storage medium

Provided are a method and an apparatus for range ambiguity suppression based on orthogonal nonlinear frequency modulation (NLFM) waveforms. The method includes that: according to transmitted orthogonal NLFM signals, a waveform sequence of the transmitted signals corresponding to an obtained echo signal is determined; a set of range matched filters is constructed according to the waveform sequence and the orthogonal NLFM signals; range compression is performed on the echo signal by using the set of range matched filters to obtain range-compressed data; and synthetic aperture radar (SAR) imaging is performed according to the range-compressed data, to obtain an imaging result, and the imaging result is outputted. A non-transitory computer-readable storage medium is also provided.

Method for range ambiguity suppression based on multi-degree-of-freedom frequency modulation signal

Provided are a method and device for designing and optimizing a multi-degree-of-freedom frequency-modulation (FM) signal, and a computer storage medium. The method includes that: a time domain function of the multi-degree-of-freedom FM signal is determined; the constraint condition and the objective function of multi-degree-of-freedom FM signal optimization are established; an algorithm model of augmented Lagrangian genetic algorithm is determined based on the constraint condition and the objective function; characteristic parameters of the first iteration of the algorithm model are initialized, where the characteristic parameters of the first iteration at least include the Lagrange multiplier of the first iteration and the offset of the first iteration; initialization signal of the multi-degree-of-freedom FM signal is acquired, and initialization frequency control points of the initialization signal are determined based on the initialization signal.

Method and device for designing and optimizing multi-degree-of-freedom frequency-modulation signal

Range-compressed data are determined by range-compressing echo data, and are set as first data to be decomposed by first decomposition. Starting from n=1, iteration is performed as follows. nth data to be decomposed are up-sampled. nth decomposition is performed on the up-sampled data. Dependency on slant ranges between a reference point and sub-apertures before and after synthesis is determined. nth azimuth-synthesized data are acquired by performing, according to the dependency on the slant ranges, nth azimuth synthesis on data acquired by the nth decomposition. The nth azimuth-synthesized data are set as (n+1)th data to be decomposed by (n+1)th decomposition. The n is increased by 1. A next iteration is performed until the n reaches a positive integer N greater than 1. A focused image is acquired by performing azimuth focusing on the Nth azimuth-synthesized data by BP.

Method and device for imaging by bistatic synthetic aperture radar

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Beijing, China

Yunkai Deng