基于稀疏阵元阵列的LFM-Capon自适应波束形成的声学成像技术分析
Analysis of Acoustic Imaging of LFM-Capon Adaptive Beamforming Based on Sparse Array
黄兆宇 1蔡玉雷2
作者信息
- 1. 联通(江苏)产业互联网有限公司,江苏 210044
- 2. 江苏颐东信息技术有限公司,江苏 210044
- 折叠
摘要
阐述超声成像技术凭借其无损、原理简单等特点被广泛应用在各行各业的检测中,但是超声成像的质量还有待提高,尤其是横向分辨率.为此,提出一种基于伪随机码调制线性调频信号和稀疏线性阵列的自适应波束形成超声成像方法,将编码激励技术与Capon算法结合,采用具有脉冲压缩性能的发射信号,对Capon自适应波束形成方法进行改进.仿真结果表明,该方法可以提高成像的对比度和空间分辨能力.
Abstract
This paper describes that ultrasonic imaging technology has been widely used in the detection of all walks of life with its characteristics of nondestructive and simple principle,but the quality of ultrasonic imaging needs to be improved,especially the horizontal resolution.It proposes an adaptive beamforming ultrasonic imaging method based on pseudo-random code modulated linear frequency modulation signal and sparse linear array.The Capon adaptive beamforming method is improved by combining the encoding excitation technique with the Capon algorithm and using the transmitted signal with pulse compression performance.Simulation results show that this method can improve the contrast and spatial resolution of imaging.
关键词
超声成像/MIMO稀疏阵列/编码调制LFM/自适应波束形成Key words
ultrasonic imaging/MIMO sparse array/coded modulation LFM/Adaptive beamforming引用本文复制引用
出版年
2024
NETL
NSTL
万方数据