分布式合成孔径雷达前视高分辨成像算法

doi:10.12305/j.issn.1001-506X.2026.01.12

Abstract

Abstract:

In the case of forward-looking imaging with single-transmitter-multiple-receiver （STMR）, the elliptic coordinate system involved in the traditional algorithm makes it difficult to maintain the orthogonal decomposition of the wavenumber vector, which exacerbates the irregularity in the shape and range of the wavenumber spectrum to reduce multi-platform image merging performance and the accuracy of motion error estimation. To address this problem, a multi-center polar coordinate system is designed, which ensures the orthogonal decomposition of the wavenumber vector in STMR forward-looking configurations and maintains the regularity of the wavenumber spectrum’s shape and range. The spectrum processing function is redesigned based on the spectrum recursive merging strategy in the fast back projection （FBP） algorithm to accurately and rapidly merge images from different platforms. Simulation results demonstrate that the proposed method requires lower image sampling rates and achieves higher image merging efficiency compared to conventional methods under alias-free spectral conditions. Under ideal sampling conditions, the proposed method also delivers superior image merging accuracy. Simulation experiments validate the effectiveness of the proposed method in enhancing both imaging quality and merging efficiency, providing an effective solution for high-resolution forward-looking imaging in systems.

Key words: fast back projection （BP） algorithm, distributed synthetic aperture radar (DiSAR), single-transmitter-multiple-receiver （STMR）, wave number vector decomposition, recursive spectrum merging

CLC Number:

TN957

Bin ZHANG, Gaotian XU, Tinghao ZHANG, Zhihui LI, Hongqiang HE. Forward-looking high resolution imaging algorithm for distributed synthetic aperture radar[J]. Systems Engineering and Electronics, 2026, 48(1): 119-131.

Figures/Tables 19

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References 30

1	REN H, SUN Z C, YANG J Y, et al. Swarm UAV SAR for 3-D imaging: system analysis and sensing matrix design[J]. IEEE Trans. on Geoscience and Remote Sensing, 2022, 60, 5238316.
2	DING J S, ZHANG K W, HUANG X J, et al. High frame-rate imaging using swarm of UAV-borne radars[J]. IEEE Trans. on Geoscience and Remote Sensing, 2024, 62, 5204912.
3	张邦楚, 廖剑, 匡宇, 等. 美国无人机集群作战的研究现状与发展趋势[J]. 航空兵器, 2020, 27 (6): 7- 12.
	ZHANG B C, LIAO J, KUANG Y, et al. Research status and development trend of the united states UAV swarm battlefield[J]. Aero Weaponry, 2020, 27 (6): 7- 12.
4	李亚超, 王家东, 张廷豪, 等. 弹载雷达成像技术发展现状与趋势[J]. 雷达学报, 2022, 11 (6): 943- 973.
	LI Y C, WANG J D, ZHANG T H, et al. Present situation and prospect of missile-borne radar imaging technology[J]. Journal of Radars, 2022, 11 (6): 943- 973.
5	樊晨阳, 贺思三, 郭乾. 雷达前视成像技术的研究现状[J]. 电光与控制, 2021, 28 (9): 59- 64.
	FAN C Y, HE S S, GU Q. Research status of radar forward-looking imaging technology[J]. Electronics Optics & Control, 2021, 28 (9): 59- 64.
6	SANTI F, ANTONIOU M, PASTINA D. Point spread function analysis for GNSS-based multistatic SAR. IEEE Geoscience and Remote Sensing Letters, 2015, 12(2): 304–308.
7	RENGA A, GIGANTINO A, GRAZIANO M D. Multiplatform image synthesis for distributed synthetic aperture radar in long baseline bistatic configurations. IEEE Trans. on Aerospace and Electronic Systems, 2023, 59(6): 9267−9284.
8	王鑫硕, 卢景月, 孟智超, 等. 前视多通道SAR成像及阵列姿态误差补偿[J]. 雷达学报, 2023, 12 (6): 1155- 1165.
	WANG X S, LU J Y, MENG Z C, et al. Forward-looking multi-channel synthetic aperture radar imaging and array attitude error compensation[J]. Journal of Radars, 2023, 12 (6): 1155- 1165.
9	庞礴, 代大海, 邢世其, 等. 前视SAR成像技术的发展和展望[J]. 系统工程与电子技术, 2013, 35 (11): 2283- 2290.
	PANG B, DAI D H, XING S Q, et al. Development and perspective of forward-looking sar imaging technique[J]. Systems Engineering and Electronics, 2013, 35 (11): 2283- 2290.
10	方智豪. 群多基SAR序接成像方法研究[D]. 成都: 电子科技大学, 2023.
	FANG Z H. A study of swarm multibasic SAR sequential joining imaging methods[D]. Chengdu: University of Electronic Science and Technology of China, 2023.
11	LI W C, CHEN R, YANG J Y, et al. A hybrid real/synthetic aperture scheme for multichannel radar forward-looking superresolution imaging[J]. IEEE Geoscience and Remote Sensing Letters, 2023, 20, 1- 5.
12	YANG Y, CHENG Y Q, LIU K, et al. Radar forward-looking imaging based on chirp beam scanning[J]. IEEE Geoscience and Remote Sensing Letters, 2025, 22, 3500905.
13	CHEN Z Y, TANG S Y, REN Y, et al. Curvilinear flight synthetic aperture radar （CF-SAR）: principles, methods, applications, challenges and trends[J]. Remote Sensing, 2022, 14 (13): 2983. doi: 10.3390/rs14132983
14	GEZIMATI M, SINGH G. Curved synthetic aperture radar for near-field terahertz imaging[J]. IEEE Photonics Journal, 2023, 15 (3): 1- 13.
15	SONG X, LI Y C, ZHANG T H, et al. Focusing high-maneuverability bistatic forward-looking SAR using extended azimuth nonlinear chirp scaling algorithm. IEEE Trans. on Geoscience and Remote Sensing, 2022, 60: 1−14.
16	ZHANG T H, LI Y C, WANG J D, et al. A modified range model and extended omega-K algorithm for high speed-high-squint SAR with curved trajectory[J]. IEEE Trans. on Geoscience and Remote Sensing, 2023, 61, 1- 15.
17	陈溅来, 熊毅, 徐刚, 等. 基于子图像变标的非线性轨迹SAR成像及其自聚焦方法[J]. 雷达学报, 2022, 11 (6): 1098- 1109.
	CHEN J L, XIONG Y, XU G, et al. Nonlinear trajectory synthetic aperture radar imaging and autofocus algorithm based on sub-image nonlinear chirp scaling[J]. Journal of Radars, 2022, 11 (6): 1098- 1109.
18	邢孟道, 马鹏辉, 楼屹杉, 等. 合成孔径雷达快速后向投影算法综述[J]. 雷达学报, 2024, 13 (1): 1- 22.
	XING M D, MA P H, LOU Y S, et al. Review of fast back projection algorithms in synthetic aperture radar[J]. Journal of Radars, 2024, 13 (1): 1- 22.
19	AN H Y, WU J J, HE Z W, et al. Geosynchronous spaceborne–airborne multichannel bistatic SAR imaging using weighted fast factorized back projection method[J]. IEEE Geoscience and Remote Sensing Letters, 2019, 16 (10): 1590- 1594. doi: 10.1109/LGRS.2019.2902036
20	ZHANG X B, YANG P X. Back projection algorithm for multi-receiver synthetic aperture sonar based on two interpolators[J]. Journal of Marine Science and Engineering, 2022, 10 (6): 718. doi: 10.3390/jmse10060718
21	ZHENG Z Y, TAN G W, JIANG D Y. A Bi-directional resampling imaging algorithm for high maneuvering bistatic forward-looking SAR based on Chebyshev orthogonal decomposition[J]. IEEE Trans. on Geoscience and Remote Sensing, 2024, 62, 52115128.
22	CAO Y, GUO S C, JIANG S, et al. Parallel optimisation and implementation of a real-time back projection （BP） algorithm for SAR based on FPGA[J]. Sensors, 2022, 22 (6): 2292. doi: 10.3390/s22062292
23	XIE H T, AN D X, HUANG X T, et al. Fast time-domain imaging in elliptical polar coordinate for general bistatic VHF/UHF ultra-wideband SAR with arbitrary motion[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014, 8 (2): 879- 895.
24	CHEN X X, SUN G C, XING M D, et al. Ground Cartesian back-projection algorithm for high squint diving TOPS SAR imaging[J]. IEEE Trans. on Geoscience and Remote Sensing, 2020, 59 (7): 5812- 5827.
25	CHEN Q, LIU W K, SUN G C, et al. A fast cartesian back-projection algorithm based on ground surface grid for GEO SAR focusing[J]. IEEE Trans. on Geoscience and Remote Sensing, 2022, 60, 5217114.
26	LI Y C, XU G T, ZHOU S, et al. A novel CFFBP algorithm with non-interpolation image merging for bistatic forward-looking SAR focusing[J]. IEEE Trans. on Geoscience and Remote Sensing, 2022, 60, 5225916.
27	闫莉, 许高添, 张廷豪. 基于改进混合坐标系的大斜视俯冲机动平台SAR快速时域成像算法[J]. 电子学报, 2024, 52 (10): 3472- 3481.
	YAN L, XU G T, ZHANG T H. A fast time-domain imaging algorithm for high-squint diving maneuvering platform SAR based on modified hybrid coordinate system[J]. Acta Electronica Sinica, 2024, 52 (10): 3472- 3481.
28	FENG D, AN D X, HUANG X T. An extended fast factorized back projection algorithm for missile-borne bistatic forward-looking SAR imaging[J]. IEEE Trans. on Aerospace and Electronic Systems, 2018, 54 (6): 2724- 2734. doi: 10.1109/TAES.2018.2828238
29	ZHOU S, YANG L, ZHAO L F, et al. A new fast factorized back projection algorithm for bistatic forward-looking SAR imaging based on orthogonal elliptical polar coordinate[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019, 12 (5): 1508- 1520. doi: 10.1109/JSTARS.2019.2907138
30	HU X, XIE H T, ZHANG L, et al. Fast factorized back projection algorithm in orthogonal elliptical coordinate system for ocean scenes imaging using geosynchronous spaceborne–airborne VHF UWB bistatic SAR[J]. Remote Sensing, 2023, 15 (8): 2215. doi: 10.3390/rs15082215

系统参数	值
载频/GHz	16
带宽/MHz	330
分辨率/m	0.5
脉冲重复频率/Hz	700
场景中心位置/km	（800,1200）
发射平台速度/（m·s⁻¹）	（0,60）
发射平台加速度/（m·s⁻²）	（−0.5,1）
接收平台速度/（m·s⁻¹）	（−20,40）
接收平台加速度/（m·s⁻²）	（−1,1.5）

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Forward-looking high resolution imaging algorithm for distributed synthetic aperture radar

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