A Imaging Algorithm Based on the Reference Range History for the Multiple Receivers Synthetic Aperture Sonar
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摘要: 为了解决现有多子阵合成孔径声呐(SAS)成像算法忽略了“非停走停”时间的孔径依赖性带来时延误差的问题，该文提出一种基于参考距离史的多子阵SAS成像算法。首先利用参考子阵与各子阵之间的平移关系，推导每个子阵的近似距离史，解决“非停走停”时间的孔径依赖性需要被近似的问题；然后将每个子阵信号搬移至相同的波束中心距离后，通过方位重构方法将欠采样的多子阵信号转变成满足采样定理的等效单基站信号，再用单基站成像算法处理得到多子阵SAS的成像结果；最后通过仿真实验和实测数据检验算法的有效性。Abstract: To address the problem that the aperture-dependence of ‘non-hop-go-hop’ time in the existing imaging algorithm for the multiple receivers Synthetic Aperture Sonar(SAS) is ignored and brings the delay error, a imaging algorithm based on the reference range history is proposed in the paper. Firstly, the shifting relationship between the reference receiver and the other receivers is used to derive the approximated range history of every receiver, which conquer the problem of ignoring aperture-dependence of ‘non-hop-go-hop’ time. Then, after the echo signal of each receiver is shift to the same beam centre range, the undersampling multiple receivers signal can be transformed into the single receiver signal by the azimuth reconstruction, which can be processed by the monostatic imaging algorithm to get imaging result. Finally, the validity of proposed algorithm is tested by the simulation experiments and real data.
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表 1 P5的成像质量参数比较
方法 斜视角 方位向 IRW(cm) 方位向 PSLR(dB) 方位向 ISLR(dB) 距离向 IRW(cm) 距离向 PSLR(dB) 距离向 ISLR(dB) 修正DPCA 4.4° 7.34 –16.41 –14.09 3.89 –13.14 –10.09 12.4° 7.13 –16.14 –12.10 4.00 –12.52 –9.80 RRH 4.4° 7.34 –16.83 –14.26 3.89 –13.11 –10.25 12.4° 7.50 –17.38 –14.05 3.90 –13.21 –10.31 
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金盛龙, 李宇, 黄海宁. 曲线机动情况下水下自主平台的改进被动合成孔径算法研究[J]. 电子与信息学报, 2018, 40(9): 2265–2272. doi: 10.11999/JEIT171225JIN Shenglong, LI Yu, and HUANG Haining. An improved passive synthetic aperture algorithm based on curvilinear maneuverability of autonomous underwater vehicles[J]. Journal of Electronics &Information Technology, 2018, 40(9): 2265–2272. doi: 10.11999/JEIT171225 刘亚波, 刘霖, 童智勇, 等. S波段高分辨宽幅SAR辐射定标及误差分析方法[J]. 电子与信息学报, 2019, 41(8): 1946–1951. doi: 10.11999/JEIT180983LIU Yabo, LIU Lin, TONG Zhiyong, et al. A radiometric calibration and error analysis method for HWRS SAR at S-band[J]. Journal of Electronics &Information Technology, 2019, 41(8): 1946–1951. doi: 10.11999/JEIT180983 王超, 王岩飞, 王琦, 等. 基于回波序列最小二乘拟合的高分辨率SAR运动目标速度估计[J]. 电子与信息学报, 2019, 41(5): 1055–1062. doi: 10.11999/JEIT180695WANG Chao, WANG Yanfei, WANG Qi, et al. Velocity estimation of moving targets based on least square fitting of high-resolution SAR echo sequences[J]. Journal of Electronics &Information Technology, 2019, 41(5): 1055–1062. doi: 10.11999/JEIT180695 MA Mengbo, TONG Jinsong, and ZHONG Heping. CZT algorithm for multiple-receiver synthetic aperture sonar[J]. IEEE Access, 2019, 8: 1902–1909. doi: 10.1109/ACCESS.2019.2962314 WU Haoran, TONG Jinsong, and ZHONG Heping. Moderate squint imaging algorithm for the multiple-hydrophone SAS with receiving hydrophone dependence[J]. IET Radar, Sonar & Navigation, 2019, 13(1): 139–147. doi: 10.1049/iet-rsn.2018.5055 杨海亮, 张森, 唐劲松, 等. 一种精确的多接收阵合成孔径声纳距离多普勒成像算法[J]. 数据采集与处理, 2010, 25(3): 313–317. doi: 10.16337/j.1004-9037.2010.03.002YANG Hailiang, ZHANG Sen, TANG Jinsong, et al. Accurate range Doppler algorithm for multiple-receiver synthetic aperture sonar[J]. Journal of Data Acquisition &Processing, 2010, 25(3): 313–317. doi: 10.16337/j.1004-9037.2010.03.002 NEO Y L, WONG F, and CUMMING I G. A two-dimensional spectrum for bistatic SAR processing using series reversion[J]. IEEE Geoscience and Remote Sensing Letters, 2007, 4(1): 93–96. doi: 10.1109/LGRS.2006.885862 张学波, 唐劲松, 张森, 等. 四阶模型的多接收阵合成孔径声呐距离-多普勒成像算法[J]. 电子与信息学报, 2014, 36(7): 1592–1598. doi: 10.3724/SP.J.1146.2013.01317ZHANG Xuebo, TANG Jinsong, ZHANG Sen, et al. Four-order polynomial based range-Doppler algorithm for multi-receiver synhetic aperture sonar[J]. Journal of Electronics &Information Technology, 2014, 36(7): 1592–1598. doi: 10.3724/SP.J.1146.2013.01317 ZHANG Xuebo, YING Wenwei, and DAI Xuntao. High-resolution imaging for the multireceiver SAS[J]. The Journal of Engineering, 2019, 2019(19): 6057–6062. doi: 10.1049/joe.2019.0431 GEBERT N. Multi-channel azimuth processing for high-resolution wide-swath SAR imaging[D]. [Ph.D. dissertation], DLR, 2009: 50–53. 吴浩然, 唐劲松, 钟何平, 等. 基于级数反演谱的多子阵距离多普勒算法[J]. 华中科技大学学报: 自然科学版, 2018, 46(10): 75–79. doi: 10.13245/j.hust.181013WU Haoran, TANG Jinsong, ZHONG Heping, et al. Multi-aperture range-Doppler imaging algorithm based on spectrum of series reversion[J]. Journal of Huazhong University of Science and Technology:Nature Science Edition, 2018, 46(10): 75–79. doi: 10.13245/j.hust.181013 LI Chuang, ZHANG Heng, DENG Yunkai, et al. Focusing the L-band spaceborne bistatic SAR mission data using a modified RD algorithm[J]. IEEE Transactions on Geoscience and Remote Sensing, 2020, 58(1): 294–306. doi: 10.1109/TGRS.2019.2936255 ZHANG Xiaohu, GU Hong, and SU Weimin. Squint-minimised chirp scaling algorithm for bistatic forward-looking SAR imaging[J]. IET Radar, Sonar & Navigation, 2020, 14(2): 290–298. doi: 10.1049/iet-rsn.2019.0382 WANG Guanwen, QI Feng, LIU Zhi, et al. Comparison between back projection algorithm and range migration algorithm in terahertz imaging[J]. IEEE Access, 2020, 8: 18772–18777. doi: 10.1109/ACCESS.2020.2968085 DAVIDSON G W, CUMMING I G, and ITO M R. A chirp scaling approach for processing squint mode SAR data[J]. IEEE Transactions on Aerospace and Electronic Systems, 1996, 32(1): 121–133. doi: 10.1109/7.481254 -
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