基于频谱旋转ωk算法的大斜视SAR地面动目标成像

doi:10.12305/j.issn.1001-506X.2022.10.14

Abstract

Abstract:

To solve the problem of difficult focus, serious geometry distortion and large cross sidelobe in high-squint mode synthetic aperture radar (SAR) ground moving target imaging (GMTIm), a high-squint SAR GMTIm algorithm based on the ωk algorithm with spectrum rotation is proposed. Firstly, a moving target echo signal model with accurate slant-range is deduced in detail to obtain preliminary imaging result and extract the region of interest (ROI) moving target data. Then, the phase compensation function is constructed and the minimum entropy algorithm is utilized to finish moving target parameter estimation. According to the estimated parameter, the phase of ROI data is compensated to get the focused moving target image. Furthermore, spectrum rotation eliminates geometry distortion, and the sparsity enhancement method decreases the moving target sidelobe. By doing so, focused, no geometry distortion and low sidelobe moving target image is obtained. Simulation results validate the effectiveness of the proposed algorithm.

Key words: synthetic aperture radar (SAR), ground moving target imaging (GMTIm), high-squint mode, ωk algorithm, spectrum rotation

CLC Number:

TN957.5

Shichao XIONG, Jiacheng NI, Qun ZHANG, Ying LUO. High-squint mode SAR GMTIm based on ωk algorithm with spectrum rotation[J]. Systems Engineering and Electronics, 2022, 44(10): 3104-3114.

Figures/Tables 14

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Table 1

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[v_x, v_r]	β	[v_x, v_r]	β
[0, 0]	4.444×10^－5	[40, －40]	7.299×10^－5
[0, 40]	4.149×10^－5	[－40, 0]	2.770×10^－5
[0, －40]	4.149×10^－5	[－40, 40]	2.653×10^－5
[40, 0]	8.265×10^－5	[－40, －40]	2.653×10^－5
[40, 40]	7.299×10^－5	-	-

性能指标	成像方法	P₁, V₁	P₂, V₁	P₁, V₂	P₂, V₂
峰值旁瓣比	无频谱旋转	-12.95	-12.81	-12.99	-12.86
峰值旁瓣比	频谱旋转	-13.36	-13.25	-13.29	-13.16
积分旁瓣比	无频谱旋转	-9.36	-9.24	-9.37	-9.25
积分旁瓣比	频谱旋转	-9.81	-9.86	-9.81	-9.74

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High-squint mode SAR GMTIm based on ωk algorithm with spectrum rotation

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