GSC框架下的最小均方超声波束形成算法

doi:10.16180/j.cnki.issn1007-7820.2019.02.008

Abstract

Abstract:

In order to narrow the width of the main lobe and increase the spatial resolution of conventional ultrasonic apodization algorithm imaging method, a generalized sidelobe canceller under the framework of the Least Mean Square ultrasonic beamforming algorithm was proposed in this paper. The expected signal minimum variance distortionless criterion was adopted to design the generalized sidelobe canceller with which received ultrasonic signalsare decomposed into the adaptive parts (the upper branch) and the non-adaptive parts (the bottom branch). The distortionless desired signal and noise were reserved in the upper branch, and the noise was contained in the bottom branch. Wiener filtering method was used to filter the signals of the two parts by removing noise and exporting the distortionless desired signal. This algorithm was realized in hardware applied by adaptive iteration LMS algorithm, and the detailed FPGA implementation was designed. The simulation results depicted that the main lobe was narrower in this weighted apodization algorithm compared to the conventional amplitude apodization algorithm, and the noise and interference were suppressed to improve the lateral resolution and contrast resolution of ultrasound imaging.

Key words: generalized sidelobe canceller, least mean square, beamforming, FPGA, suppression of interference, contrast

CLC Number:

TN911.72

LUO Ying,WU Qiang,QIN Yun. The Least Mean Square Ultrasonic Beamforming Algorithm Based on GSC[J].Electronic Science and Technology, 2019, 32(2): 37-41.

Figures/Tables 10

Figure 1.

Table 1

The minimum mean square algorithm under GSC framework"

$W X 0$ (0)=0
ε₀(0)=d₀(0)
$W X 0$ (n)= $W X 0$ (n-1)+μX₀(n-1) $ε 0 *$ (n-1)
ε₀(n)=d₀(n)- $X H X 0$ (n) $W X 0$ (n)

Table 1

Figure 2.

Figure 3.

Figure 4.

Figure 5.

Figure 6.

Figure 7.

Figure 8.

Figure 9.

References 19

[1]	郑驰超, 彭虎 . 互相关自适应加权的医学超声成像算法研究[J]. 物理学报, 2014,63(14):148702-6. doi: 10.7498/aps.63.148702
	Zheng Chichao, Peng Hu . Ultrasounic Imaging Based on Coded Exciting Technology and Adaptive Beamforming[J]. Journal of Electronics & Information Technology, 2010,32(4):959-962. doi: 10.7498/aps.63.148702
[2]	Kortbek J, Jensen J A, Gammelmark K L . Sequential beamforming for synthetic aperture imaging[J]. Ultrasonics, 2013,53(1):1-16. doi: 10.1016/j.ultras.2012.06.006 pmid: 22809678
[3]	Synnevag JF, Austeng A, Holm S . Adaptive beamforming applied to medical ultrasound imaging[J]. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control, 2007,54(8):1606-1613. doi: 10.1109/TUFFC.2007.431 pmid: 17703664
[4]	陈民轴, 王伟明 . 基于分段动态变迹技术的超声成像方法[J]. 重庆大学学报:自然科学版, 2010,33(3):60-64. doi: 10.3969/j.issn.1002-0101.2010.09.037
	Chen Minyou, Wang Weiming . Ultrasound imaging method based on segment dynamic apodization technology[J]. Journal of Chongqing University:Natural Science Edition, 2010,33(3):60-64. doi: 10.3969/j.issn.1002-0101.2010.09.037
[5]	弓晓颜 . 小阵面相控阵雷达波束控制系统的实现[J]. 电子科技, 2015,28(6):155-157. doi: 10.16180/j.cnki.issn1007-7820.2015.06.042
	Gong Xiaoyan . Realization of beam control system of small phased array radar[J]. Electronic Science and Technology, 2010,33(3):60-64. doi: 10.16180/j.cnki.issn1007-7820.2015.06.042
[6]	邵朝, 赵妮, 石超雄 . 一类最小方差无失真响应波束的形成方法[J]. 西安邮电大学学报, 2014,19(3):22-25. doi: 10.13682/j.issn.2095-6533.2014.03.005
	Shao Chao, Zhao Ni, Shi Chaoxiong . A class method of minimum variance distortion response beamforming[J]. Journal of Xi’an University of Posts and Telecommunications, 2014,19(3):22-25. doi: 10.13682/j.issn.2095-6533.2014.03.005
[7]	Sakhaei S M . Optimum beamforming for sidelobe reduction in ultrasound imaging[J]. IEEE Transactions on Ultrasonics Ferroelectrics & Frequency Control, 2012,59(4):799-805. doi: 10.1109/TUFFC.2012.2257 pmid: 22547290
[8]	Asl B M, Mahloojifar A . Contrast enhancement and robustness improvement of adaptive ultrasound imaging using forward-backward minimum variance beamforming[J]. IEEE Transactions on Ultrasonics Ferroelectrics & Frequency Control, 2011,58(4):858-858. doi: 10.1109/TUFFC.2011.1880 pmid: 21507765
[9]	Chen Y L, Lee J H . Finite data performance analysis of mvdr antenna array beamformers with diagonal loading[J]. Progress in Electromagnetics Research, 2013,134(1):475-507. doi: 10.2528/PIER12092006
[10]	Huang C C, Lee J H . Robust adaptive beamforming using a fully data-dependent loading technique[J]. Progress in Electromagnetics Research B, 2012,37(37):307-325. doi: 10.2528/PIERB11110406
[11]	Huang B, Ding S X, Qin S J . Closed-loop subspace identification: an orthogonal projection approach[J]. Journal of Process Control, 2005,15(1):53-66. doi: 10.1016/j.jprocont.2004.04.007
[12]	Cheng N, Ni S, Ni Z. A direction constrained eigenspace based on beamforming algorithm [C]. Uzbekistan:Second International Conference on Networks Security, Wireless Communications and Trusted Computing, 2010.
[13]	Diniz P S. 自适应滤波算法与实现[M]. 刘郁林, 景晓军,谭刚兵,译.北京:电子工业出版社, 2004.
	Diniz P S. Adaptive filtering: algorithms and practical implementation[M]. Beijing: Publishing House of Electronics Industry, 2004.
[14]	王丹, 于枫 . 基于小波分析的自适应均衡技术的研究[D]. 长春:吉林大学, 2004.
	Wang Dan, Yu Feng . The technology of adaptive equalization based on wavelet analysis[D]. Changchun: Jilin University, 2004.
[15]	Srar J A, Chung K S, Mansour A . Adaptive array beamforming using a combined LMS-LMS algorithm[J]. IEEE Transactions on Antennas and Propagation, 2010,58(11):3545-3557. doi: 10.1109/TAP.2010.2071361
[16]	Pannert W, Maier C . Rotating beamforming motion-compensation in the frequency domain and application of high-resolution beamforming algorithms[J]. Journal of Sound & Vibration, 2014,333(7):1899-1912. doi: 10.1016/j.jsv.2013.11.031
[17]	Pinto F, Vetterli M. Near-field adaptive beamforming and source localization in the spacetime frequency domain [C]. Dallas:IEEE International Conference on Acoustics Speech and Signal Processing, 2010.
[18]	周晓青, 李合生 .基于 CORDIC 算法的双曲正余弦函数 FPGA 实现[J]. 信息与电子工程, 2010,8(2):211-214. doi: 10.3969/j.issn.1672-2892.2010.02.018
	Zhou Xiaoqing, Li Hesheng . FPGA implementation of hyperbolic function based on CORDIC algorithm[J]. Information and Electronic Engineering, 2010,8(2):211-214. doi: 10.3969/j.issn.1672-2892.2010.02.018
[19]	包志强, 贾富伟, 朱少彬 . FPGA实现基于施密特正交化的自适应算法[J]. 电子科技, 2015,28(9):1-5. doi: 10.16180/j.cnki.issn1007-7820.2015.09.001
	Bao Zhiqiang, Jia Fuwei, Zhu Shaobin . QRD-SMI algorithm based on MGS algorithm and its FPGA implementation[J]. Electronic Science and Technology, 2015,28(9):1-5. doi: 10.16180/j.cnki.issn1007-7820.2015.09.001

The Least Mean Square Ultrasonic Beamforming Algorithm Based on GSC

RichHTML

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 10

References 19

Related Articles 15

Metrics

Comments

Recommended 10

[1]	LIU Tingting,ZHANG Yujin,XIONG Shiting. Dual-Exposure Fusion Algorithm for Low-Light Image Enhancement [J]. Electronic Science and Technology, 2021, 34(6): 34-39.
[2]	YAN Zijie,WANG Jingmei,CHEN Zhuo,LIU Yu. Implementation of Software Programmable FPGA Network Measurement Engine Technology [J]. Electronic Science and Technology, 2021, 34(2): 27-32.
[3]	SHI Weizhong,CAO Weiwei,FAN Yanming,DONG Jiajun,CHEN Shu,XIAO Hao. FPGA-Based Real-Time Edge Detection and its Implementation for Deep-Space Images [J]. Electronic Science and Technology, 2020, 33(5): 45-49.
[4]	XIE Zhixuan,YAO Hongbing,FAN Ning,CHEN Feng. Connected Domain Label Detection Algorithm for Multi-target Lens [J]. Electronic Science and Technology, 2020, 33(4): 50-54.
[5]	ZHAO Nengwu,LU Hongmin,XU Tao,HU Kuan,HE Chuanxia,MENG Xiaojiao. Design of Signal Source for Perimeter Intrusion Detection System Based on AD9910 [J]. Electronic Science and Technology, 2020, 33(1): 1-5.
[6]	DUAN Tie,HUANG Yan,WANG Yang. Reconfiguration Design of Digital PLL in Carrier Synchronous [J]. Electronic Science and Technology, 2019, 32(8): 41-45.
[7]	WANG Jiamin,YANG Qinghui,ZHANG Huaiwu. 9 kHz1.4 GHz High Precision Fast Random Frequency Hopping DDS Frequency Synthesizer [J]. Electronic Science and Technology, 2019, 32(12): 27-32.
[8]	KANG Weixin,GONG Xue,LIU Yumei,WANG Hongru. Ultrasound Imaging Based on Predistortion Coded Excitation and Minimum Variance Beamforming [J]. Electronic Science and Technology, 2019, 32(1): 67-71.
[9]	WANYAN Yong. Document Image Binarization Based on Contrast Enhancement and Background Estimation [J]. , 2018, 31(4): 20-.
[10]	HE Kai, LIANG Bei, YANG Fashun. Design of Calculating Image Coordinates of Feature Point Based on Vivado HLS [J]. , 2018, 31(4): 87-.
[11]	LI Wen-Hui, JIAN Xian-Zhong, XIAO Er-Liang. The Design of Gigabit Ethernet Transmission System Based on FPGA in Real Time Monitoring System of Substation [J]. , 2018, 31(1): 16-.
[12]	JIANG Xuheng，ZHENG Zheng，HU Shengnan. The System of High Frequency Ultrasonic Signal Real time Enhancement Based on Pulse Compression [J]. , 2017, 30(9): 8-.
[13]	ZHOU Hang. The Realization and Research of Inertial Pulse Output Signal Measurement in the FPGA [J]. , 2017, 30(4): 15-.
[14]	ZHU Huaiyi. The Simulation Implementtation of CZT Spectrum Zooming Algorithm Based on NiosII [J]. , 2017, 30(4): 76-.
[15]	NA Yan, DI Peng. Design and Realization of the Audio and Video Signal Acquisition Interface Circuit [J]. , 2016, 29(9): 148-.