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论文:2014,Vol:32,Issue(4):586-592 |
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引用本文： |
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潘浩, 孙超, 卓颉, 刘雄厚. 基于稀疏阵列技术的MIMO声呐低运算量二维成像[J]. 西北工业大学 |
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Pan Hao, Sun Chao, Zhuo Jie, Liu Xionghou. Low Computation 2-D Imaging for MIMO Sonar Based on Sparse Array Technology[J]. Northwestern polytechnical university |
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| 基于稀疏阵列技术的MIMO声呐低运算量二维成像 |
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| 潘浩, 孙超, 卓颉, 刘雄厚 |
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| 西北工业大学 声学工程研究所, 陕西 西安 710072 |
| 摘要: |
| 为了降低多输入多输出(multiple-lnput multiple-output,MIMO)声呐二维成像系统的运算量,提出了稀疏阵列和MIMO声呐相结合的低运算量二维成像方法。在MIMO声呐的虚拟接收阵列为矩形平面阵的前提下,使用模拟退火算法(simulated annealing,SA)对该虚拟矩形平面阵的阵元位置和加权系数同时优化,在保持期望波束性能的前提下大量减少其虚拟阵元数目;根据虚拟接收阵元与匹配滤波器一一对应的关系,移除掉与关闭虚拟阵元所对应的匹配滤波器;对保留匹配滤波器的输出信号进行波束形成等处理,获得目标的二维强度图。计算机仿真结果验证了该方法的有效性。 |
| 关键词:
水下声成像
MIMO声呐
稀疏阵列
模拟退火算法
虚拟阵列;匹配滤波
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| Low Computation 2-D Imaging for MIMO Sonar Based on Sparse Array Technology |
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| Pan Hao, Sun Chao, Zhuo Jie, Liu Xionghou |
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| Institute of Acoustic Engineering, Northwestern Polytechnical University, Xi'an 710072, China |
| Abstract: |
| To reduce the computation burden of multiple-input multiple-output (MIMO) sonar imaging system, a low computational imaging approach based on sparse array technology is proposed in this paper. Specifically, con-sidering the MIMO sonar with a virtual rectangular planar array, we adopt the simulated annealing (SA) algorithm to optimize the layout and weight coefficients of the virtual array into a sparse one. Then, according to the one-to-one relationship between a matched filter and a virtual sensor, the matched filters whose corresponding virtual ele-ments are inactive in the virtual array are also removed. Finally, the outputs of remaining matched filters are col-lected as the inputs of beamformers and the 2-D imaging result is obtained with further processing. Since the sensor number in the sparse virtual array is much smaller than that of the original filled virtual one, the number of matched filters in the MIMO sonar imaging system is greatly reduced and hence, the computation burden is significantly sim-plified. Numerical simulations are provided for demonstrating the effectiveness of our approach. |
| Key words:
algorithms
beamforming
calculations
computer simulation
efficiency
Gaussian noise (electronic)
MATLAB
matrix algebra
optimization
schematic diagrams
sensors
signal to noise ratio
simulated annealing
sonar
time delay
two dimensional
underwater acoustics
underwater imaging
matched filter
MIMO sonar
sparse array
2-D imaging
underwater acoustic imaging
virtual array
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| 收稿日期: 2013-10-28
修回日期:
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| DOI: |
| 基金项目: 国家自然科学基金(11104222)资助 |
| 通讯作者: 卓颉(1978—),女,西北工业大学副教授,E-mail:jzhuo@nwpu．edu．cn
Email：jzhuo@nwpu.edu.cn |
| 作者简介: 潘浩(1989-),西北工业大学硕士研究生,主要从事水下阵列信号处理研究。
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| 作者相关文章 |
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| 潘浩 在本刊中的所有文章 |
| 孙超 在本刊中的所有文章 |
| 卓颉 在本刊中的所有文章 |
| 刘雄厚 在本刊中的所有文章 |
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参考文献: |
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[1] Murino V, Trucco A. Three-Dimensional Image Generation and Processing in Underwater Acoustic Vision [J]. Proc IEEE,2000, 88(12): 1903-1948
[2] Trucco A, Murino V. Stochastic Optimization of Linear Sparse Arrays [J]. IEEE Journal of Oceanic Engineering, 1999, 24 (3): 291-299
[3] Trucco A. Thinning and Weighting of Large Planar Arrays by Simulated Annealing [J]. IEEE Trans on Ultrasonic, Ferroelectrics and Frequency Control, 1999, 46(2):347-355
[4] Chen P, Zheng Y Y, Zhu W. Optimized Simulated Annealing Algorithm for Thinning and Weighting Large Planar Arrays in both Far-Field and Near-Field [J]. IEEE Journal of Oceanic Engineering, 2011, 36(4): 658-664
[5] O' Neill D J. Element Placement in Thinned Arrays Using Genetic Algorithms [C] ∥Proceedings of IEEE OCEANS' 94. Brest: IEEE, 1994: 301-306
[6] Haupt R L. Thinned Arrays Using Genetic Algorithms [J]. IEEE Trans on Antennas and Propagation, 1994, 42(7): 993-999
[7] Liu X H, Sun C, Yi F, et al. Underwater Three-Dimensional Imaging Using Narrowband MIMO Array [J]. Science China in Physics Mechanics and Astronomy, 2013, 56(7): 1346-1354
[8] Wang H J, Su Y. Narrowband MIMO Radar Imaging with Two Orthogonal Linear T/R Arrays [C] ∥International Conference on Signal Processing, Beijing, 2008: 2513-2516
[9] Wang D W, M a X Y, Su Y. Two-Dimensional Imaging via a Narrowband M IM O Radar System with Two Perpendicular Linear Arrays [J]. IEEE Trans on Image Processing, 2010, 19(5): 1269-1279
[10] 滕婷婷, 孙大军, 刘鑫, 田原. 波形分集 MIMO 成像声呐技术研究[J]. 哈尔滨工程大学学报, 2013, 34(5): 581-587 Teng T T, Sun D J, Liu X, Tian Y. The Techniques for Waveform Diversity MIMO Imaging Sonar[J]. Journal of Marine Science and Application, 2013, 34(5): 581-587 (in Chinese) |
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