CAJ | 학술논문

压缩感知（compressive sensing，CS）理论为少量脉冲条件下实现高分辨逆合成孔径雷达（inverse synthetic aperture radar，ISAR）成像提供了新方法。然而由于 CS 的噪声敏感性，其成像易受到噪声污染；另外，少量脉冲条件下很难保证噪声参数估计精度，这进一步加剧了 ISAR 成像污染。针对这一问题，提出一种散射区域加权 CS ISAR 成像算法，利用目标散射区域信息对冗余字典中的基函数进行加权，修正 CS 重建算法以抑制噪声散斑。为提高噪声参数估计精度，对回波采样建立子序列矩阵，提出矩阵扰动理论噪声参数估计方法。实验结果表明，所提方法能够有效抑制噪声影响，提高低信噪比和少量脉冲条件下 ISAR 成像质量。
압축감지（compressive sensing，CS）이론위소량맥충조건하실현고분변역합성공경뢰체（inverse synthetic aperture radar，ISAR）성상제공료신방법。연이유우 CS 적조성민감성，기성상역수도조성오염；령외，소량맥충조건하흔난보증조성삼수고계정도，저진일보가극료 ISAR 성상오염。침대저일문제，제출일충산사구역가권 CS ISAR 성상산법，이용목표산사구역신식대용여자전중적기함수진행가권，수정 CS 중건산법이억제조성산반。위제고조성삼수고계정도，대회파채양건립자서렬구진，제출구진우동이론조성삼수고계방법。실험결과표명，소제방법능구유효억제조성영향，제고저신조비화소량맥충조건하 ISAR 성상질량。
Compressive sensing (CS)theory provides a new approach for inverse synthetic aperture radar (ISAR)to realize high-resolution imaging under very limited number of pulses.However,due to the noise sen-sitivity of CS,the quality of ISAR images suffers from noise contamination.In addition,in noise circumstance, it is hard to obtain accurate noise parameters estimation in the case of few pulses.This further exacerbates ISAR image contamination.To deal with this problem,a scattering region weighting compressive sensing ISAR imaging method is proposed.With the target region information,the weighting coefficients are determined for the basis function in the redundant dictionary.Then the CS reconstruction algorithm is modified with the target information weighting to suppress noise speckles.To improve the noise level estimation precision,the sub-se-quence matrix is established from return samples,and then the matrix perturbation theory is performed to esti-mate the noise parameters.Experimental results indicate that the proposed method can effectively reduce noise and improve the image quality in the case of low signal-noise ratio and very limited number of pulses case.