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An Extended omega-k algorithm for Automotive SAR with Curved Path

REMOTE SENSING 2024年第23期16卷 4508-4508页

作者： Guo, Ping Li, Chao Li, Haolan Luan, Yuchen Wang, Anyi Wang, Rongshu Tang, Shiyang Xian Univ Sci & Technol Xian Key Lab Network Convergence Commun Xian 710054 Peoples R China Chinese Acad Sci Aerosp Informat Res Inst Beijing 100101 Peoples R China Xidian Univ Natl Key Lab Radar Signal Proc Xian 710071 Peoples R China

Automotive millimeter-wave (MMW) synthetic aperture radar (SAR) systems can achieve high-resolution images of detection areas, providing environmental perceptions that facilitate intelligent driving. However, curved path is inevitable in complex urban road environments. Non-uniform spatial sampling, brought about by curved path, leads to cross-coupling and spatial variation deteriorates greatly, significantly impacting the imaging results. To deal with these issues, we developed an Extended omega-k algorithm (EOkA) for an automotive SAR with a curved path. First, an equivalent range model was constructed based on the relationship between the range history and Doppler frequency. Then, using azimuth time mapping, the echo data was reconstructed with a form similar to that of a uniform linear case. As a result, an analytical two-dimensional (2D) spectrum was easily derived without using of the method of series reversion (MSR) that could be exploited for EOkA. The results from the parking lot, open road, and obstacle experimental scenes demonstrate the performance and feasibility of an MMW SAR for environmental perception.

关键词： SAR automotive MMW radar curved trajectory omega-k algorithm

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A MODIFIED omega-k algorithm BASED ON A RANGE EQUIVALENT MODEL FOR GEO SPACEBORNE-AIRBORNE BISAR IMAGING

A MODIFIED OMEGA-K ALGORITHM BASED ON A RANGE EQUIVALENT MOD...

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IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

作者： Guo, Yiyu Huang, Penghui Xi, Peili Liu, Xingzhao Liao, Guisheng Chen, Guozhong Liu, Yanyang Lin, Xin Shanghai Jiao Tong Univ Sch Elect Informat & Elect Engn Shanghai Peoples R China Inst Shanghai Satellite Engineer Shanghai Peoples R China Xidian Univ Natl Lab Radar Signal Proc Xian Peoples R China

ISBN: (数字)9781665427920

ISBN: (纸本)9781665427920

Geosynchronous spaceborne-airborne bistatic synthetic aperture radar (GEO-BiSAR) has the advantages of wide beam coverage, long exposure time, and superior system flexibility. However, it is a challenge for GEO-BiSAR to efficiently acquire SAR images both with high resolution and wide swath due to the severe range and azimuth spatial variances. To deal with this issue, a modified omega-k method is proposed in this paper. In the proposed algorithm, an equivalent range model associated with GEO-BiSAR configuration is built, where the equivalent parameters of the airborne radar receiver absorb the phase parameters corresponding to the GEO transmitter. Then, the Stolt interpolation is performed to realize the range-azimuth decoupling, achieving the linearization between range and frequency variables. Finally, a well-focused SAR image could be obtained after residual spatial variance error compensation. Simulations are presented to demonstrate the effectiveness of the proposed method.

关键词： GEO-SAR BiSAR frequency-domain imaging omega-k algorithm spatial variance

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A Fast omega-k algorithm for Near-Field 3-D Imaging of MIMO Synthetic Aperture Radar Data

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IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 2021年第8期18卷 1431-1435页

作者： Tan, kai Natl Univ Singapore Dept Elect & Comp Engn Singapore 117583 Singapore

Multiple-input-multiple-output synthetic aperture radar (MIMO-SAR) is being studied and used in more and more sensing applications. However, to deal with large-size scanning data without acceleration technology, there is still a certain distance away from real-time operation using the previous state-of-the-art imaging algorithms, which must use complicated interpolation or iteration operations. To conquer this difficulty, a fast imaging algorithm is developed for 3-D near-range imaging on MINIO-SAR. An appropriate expansion is carried out to the coupling phase term, and thus the differential correction for the MIMO data set can be realized with only a range inverse fast Fourier transform (IFFT) and a matched filtering, which are easy to implement. The computational complexity of the algorithm is O(N-4 log(2) N), which is lower than the previous state-of-the-art algorithms. Short-range measurements on a millimeter-waveband MIMO-SAR with different distributed targets demonstrate the performance of the proposed algorithm. Real-time operation is achieved using the algorithm even with a regular CPU.

关键词： 3-D near-range imaging multiple-input-multiple-output synthetic aperture radar (MIMO-.SAR) omega-k algorithm real-time imaging

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A Modified Range Model and Extended omega-k algorithm for High-Speed-High-Squint SAR With Curved Trajectory

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IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 2023年 61卷 1页

作者： Zhang, Tinghao Li, Yachao Wang, Jun Xing, Mengdao Guo, Liang Zhang, Peng Xidian Univ Natl Lab Radar Signal Proc Xian 710071 Peoples R China Xidian Univ Collaborat Innovat Ctr Informat Sensing & Understa Xian 710071 Peoples R China

An accurate range model with acceleration, the coupling phase terms, and spatial-variant (SV) Doppler parameters are the main issues to be solved in high-speed-high-squint synthetic aperture radar (HSHS-SAR) with a curved trajectory. For these issues, an extended omega-k (EOk) algorithm is developed in this article. The proposed EOk algorithm mainly includes the following four aspects. First, a modified range model (AMRM) considering 3-D acceleration for a curved trajectory is established. Then, the coupling between the range and azimuth direction is removed by the modified Stolt mapping (MSM). Subsequently, an improved high-order SV phase correction approach is derived to eliminate the azimuth dependence of Doppler parameters. Finally, in order to avoid zeros-padding operation, the proposed method focuses on the sub-aperture data in the range time and azimuth frequency domain through data aligning processing. The experimental results of both simulation and real data verify the effectiveness of the proposed method.

关键词： Azimuth Trajectory Synthetic aperture radar Doppler effect Imaging Taylor series Couplings Curved trajectory omega-k algorithm spatial variant (SV) synthetic aperture radar (SAR)

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A modified omega-k algorithm for squint circular trace scanning SAR using improved range model

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SIGNAL PROCESSING 2019年 160卷 59-65页

作者： Liao, Yi Wang, Wen-Qin Xing, Mengdao Univ Elect Sci & Technol China Sch Informat & Commun Engn Chengdu 611731 Sichuan Peoples R China Xidian Univ Natl Lab Radar Signal Proc Xian 710071 Shaanxi Peoples R China

For squint circular trace scanning SAR (CTSSAR), the circular flight trajectory and squint angle make the conventional hyperbolic range model (CHRM) hard to accurately represent the true range history. Traditional frequency domain algorithms cannot accomplish precise imaging directly. To address this problem, a modified omega-k algorithm with improved range model is proposed. The algorithm can be divided into two main steps: Range-independent error compensation and range-dependent error compensation. By employing the improved range model, the complex coarse range-independent range phase error is compensated. Then the omega-k algorithm is implemented to remove the residual range-dependent phase error for target focusing. Simulation results validate the effectiveness of the proposed range model together with the imaging algorithm. (C) 2019 Elsevier B.V. All rights reserved.

关键词： Squint circular trace scanning synthetic aperture radar (SAR) omega-k algorithm Conventional hyperbolic range model (CHRM) Wavenumber domain

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omega-k algorithm Implementation for Linear Frequency Modulated-Continous Wave SAR Signal Processing

Omega-k Algorithm Implementation for Linear Frequency Modula...

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IEEE International Congress on Electronics, Electrical Engineering and Computing (INTERCON)

作者： Jhohan Jancco Chara Facundo Palomino Quispe Roger Jesus Coaquira Castillo Mark Clemente-Arenas Escuela Profesional de Ingeniería Electrónica Universidad Nacional de San Antonio Abad del Cusco Cusco Peru Grupo de Circuitos y Sistemas Electronicos de Alta Frecuencia ECS- HF Universidad Nacional Tecnológica de Lima Sur UNTELS Lima Peru

ISBN: (数字)9781728193779

ISBN: (纸本)9781728193786

The omega-k algorithm is used for SAR systems due to the precision on focus quality in SAR raw signal. However, it is little explored for specific SAR systems such as Linear Frequency Modulated Continuous Wave LFM-CW systems. These systems are used to distance to target estimation, mapping, 3D modelling, etc. In this paper, the omega-k algorithm is implemented for LFM-CW radars focusing real and simulated SAR raw signal determining algorithm focus quality parameters.

关键词： Synthetic Aperture Radar SAR Linear frequency modulated continuous wave LFM-CW omega-k algorithm Synthetic aperture radar Rescue Specific absorption rate SAFETY ANALYSIS REPORTS original signal frequency modulated continuous wave algorithms Real number Precision FOCUSING signal processing Little's Disease

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Focusing Bistatic Forward-looking SAR Images use omega-k algorithm based on Modified Hyperbolic Approximating 8

Focusing Bistatic Forward-looking SAR Images use Omega-k alg...

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8th International Conference on Control, Automation and Information Sciences (ICCAIS)

作者： Zhang, Xiaohu Gu, Hong Su, Weimin Nanjing Univ Sci & Technol Dept Elect Engn & Optoelect Technol Nanjing Peoples R China

ISBN: (纸本)9781728123110

Forward-looking imaging has many potential applications, such as self-landing, navigation, etc. This paper shows a modified hyperbolic approximating method for bistatic forward-looking SAR imaging. Compared with the original hyperbolic approximating, the modified method can handle the bistatic forward-looking geometry better and make the equivalent range history more accurate. Based on the modified approximating method, a modified omega-k imaging algorithm is deduced. Finally, numerical simulations are used to validate the proposed modified hyperbolic approximating and the imaging algorithm.

关键词： Bistatic forward-looking SAR hyperbolic approximating omega-k algorithm

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omega-k algorithm BASED ON SERIES REVERSION AND LEAST SQUARE FOR HIGH-RESOLUTION SPACEBORNE SAR 38

OMEGA-K ALGORITHM BASED ON SERIES REVERSION AND LEAST SQUARE...

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38th IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

作者： Yang, Mingdong Zhu, Daiyin Xu, Fan Nanjing Univ Aeronaut & Astronaut Coll Elect & Informat Engn Key Lab Radar Imaging & Microwave Photon Minist Educ Nanjing Jiangsu Peoples R China

ISBN: (纸本)9781538671504

When processing high-resolution spaceborne synthetic aperture radar (SAR) data, the orbit curvature is a key aspect that must be taken into account. The non-hyperbolic range history makes most SAR imaging approaches not suitable for the curved orbit. Based on the two-dimensional spectrum derived by series reversion (SR), a modified omega-k algorithm (OkA) is proposed in this paper. Making use of the reference function calculated by SR, an accurate bulk compression is implemented. Following, a modified Stolt interpolation is applied based on least square (LS), to perform the residual range-variant processing efficiently. The method described can achieve satisfactory focusing results for spaceborne SAR, without a large number of computation. Point targets simulations have validated the presented research.

关键词： Spaceborne synthetic aperture radar curved orbit omega-k algorithm series reversion least square

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Generalized omega-k algorithm for Geosynchronous SAR Image Formation

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IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 2015年第11期12卷 2286-2290页

作者： Hu, Bin Jiang, Yicheng Zhang, Shunsheng Zhang, Yun Yeo, Tat-Soon Harbin Inst Technol Harbin 150001 Peoples R China Univ Elect Sci & Technol China Chengdu 611731 Peoples R China Natl Univ Singapore Singapore 117583 Singapore

Geosynchronous synthetic aperture radar (GEO SAR) data focusing is a more challenging and difficult task than the low earth orbit (LEO) SAR due to the strong 2-D coupling of echo signal induced by the orbital trajectory curvature. The range cell migration (RCM) in the GEO SAR configuration is space variant in both range and azimuth directions, hence standard RCM correction (RCMC) functions developed for LEO SAR are inadequate for GEO. In this letter, a curved trajectory model is proposed, taking into consideration the impacts of "stop-and-go" assumption. Based on the range model, a new data transform is derived to deal with the complicated coupling in GEO SAR. From the derivation, we find that the original Stolt mapping is a special case of the proposed "generalized omega-k" algorithm. In comparison with the original omega-k algorithm, this new algorithm can correct more complicated RCM effectively. Finally, simulation results show that the proposed imaging algorithm performs well for large scene focusing in an L-Band GEO SAR system.

关键词： Curved trajectory model geosynchronous synthetic aperture radar (GEO SAR) omega-k algorithm range cell migration (RCM)

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An omega-k algorithm for Translational Invariant Bistatic SAR Based on Generalized Loffeld's Bistatic Formula

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IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 2014年第10期52卷 6699-6714页

作者： Wu, Junjie Li, Zhongyu Huang, Yulin Yang, Jianyu Liu, Qing Huo Univ Elect Sci & Technol China Sch Elect Engn Chengdu 611731 Peoples R China Duke Univ Dept Elect & Comp Engn Durham NC 27708 USA

In this paper, an omega-k imaging algorithm to focus the raw data of translational invariant (TI) bistatic synthetic aperture radar (BSAR) is proposed. The method utilizes a point target reference spectrum of generalized Loffeld's bistatic formula (GLBF). Without the bistatic deformation term, GLBF is the latest development of Loffeld's bistatic formula. It is comparable in precision with the method of series reversion (MSR), but it has a much simpler form than MSR and a similar form to a monostatic case. Based on the spatial linearization of GLBF, the Stolt transformation relationship is derived. The method can consider the linear spatial variation of Doppler parameters, which is always ignored in previous publications about bistatic omega-k algorithms. This method can handle the cases of TI BSAR with high squint angles and large bistatic degrees. In addition, a compensation method for the phase error caused by the linearization is discussed. Numerical simulations and experimental data processing verify the effectiveness of the proposed method.

关键词： Bistatic synthetic aperture radar (BSAR) generalized Loffeld's bistatic formula (GLBF) omega-k algorithm Stolt transformation

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