多子阵SAS方位空变运动补偿子孔径算法

doi:10.12305/j.issn.1001-506X.2024.10.07

Abstract

Abstract:

In order to resolve the issues of rapid motion compensation (MOCO) and imaging for synthetic aperture sonar (SAS) with the azimuth-variant sway and yaw errors, a sub-aperture algorithm is proposed for multiple-subarry SAS azimuth-variant MOCO. Firstly, a round-trip range history model with the motion errors is established, and then the double square root form range history is approximated by the method of Taylor series expansion. Secondly, the sub-aperture MOCO and monostatic equivalent processing are presented to convert the multiple-subarry echo wave data with the azimuth-variant sway and yaw errors to the ideal monostatic data. Finally, conventional monostatic frequency domain line-by-line imaging algorithms are used to realize the rapid MOCO and high-resolution imaging. The results of simulations and real data imaging demonstrate the effectiveness of the proposed algorithm.

Key words: motion compensation (MOCO), synthetic aperture sonar (SAS), sub-aperture algorithm, imaging algorithm, azimuth-variant

CLC Number:

TP751.1

Zhen TIAN, Sen ZHANG, Liwei PANG, Jinsong TANG. Sub-aperture algorithm for multiple-subarry SAS azimuth-variant motion compensation[J]. Systems Engineering and Electronics, 2024, 46(10): 3293-3302.

Figures/Tables 11

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References 32

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类别	距离剖面			方位剖面
类别	I/m	P/dB	L/dB	I/m	P/dB	L/dB
理论值	0.038	-13.30	-11.00	0.080	-13.30	-11.00
FOPM-RD	0.094	-14.23	-11.96	0.101	-5.95	20.41
AIMOCO	0.039	-13.95	-10.49	0.096	-4.35	-0.10
PPMOCO	0.038	-13.91	-11.86	0.080	-14.49	-11.60
本文算法	0.038	-13.49	-11.34	0.079	-14.16	-11.62

目标	距离剖面图			方位剖面图
目标	I/m	P/dB	L/dB	I/m	P/dB	L/dB
P1	0.038	-13.46	-9.91	0.079	-14.14	-11.61
P2	0.038	-13.47	-9.91	0.080	-14.16	-11.59
P3	0.038	-13.49	-9.90	0.079	-14.16	-11.62
P4	0.038	-13.48	-9.92	0.079	-14.19	-11.58
P5	0.038	-13.47	-9.90	0.080	-14.18	-11.60

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Sub-aperture algorithm for multiple-subarry SAS azimuth-variant motion compensation

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