编码超声稀疏采样仿真研究

编码超声可以在不增加发射能量的前提下提高平均发射声功率，进而有效提高微小目标体的检出率，增加检测深度，提高目标体成像分辨率。而稀疏采样技术可以有效减少采集数据量，提高检测算法实时性。将二者的优点结合，在高频、超宽带以及多传感器超声阵列实时检测与成像领域有重要研究价值。为此，提出了一种编码超声有限新息率稀疏采样方法，该方法在建立编码超声信号稀疏采样构架的基础上，通过脉冲压缩技术实现编码超声信号的时域压缩，并通过仿真实验对3位二进制编码超声信号进行了稀疏采样与参数重构。仿真结果表明，该方法可实现编码超声信号的稀疏采样，在减少数据量的同时准确重构出原信号。

Simulation Research on Coded Ultrasonic Sparse Sampling

Coded ultrasound can increase the average transmitted sound power without increasing the emission energy,thereby effectively improving the detection rate of the small target,increasing the detection depth,and improving the imaging resolution of the target.Sparse sampling technology can effectively reduce the amount of data collected and improve the real-time performance of detection algorithm.Combining the advantages of the two methods has important research value in the fields of high frequency,ultra-wideband,multi-sensor ultrasonic array real-time detection and imaging.A sparse sampling method with finite tate of innovation for coded ultrasound is proposed.Based on the construction of sparse sampling framework for coded ultrasound signals,time domain compression of coded ultrasound signals is realized by pulse compression technology.Sparse sampling and parameter reconstruction of 3-bit binary coded ultrasound signals are carried out through simulation experiments.The simulation results show that this method can realize sparse sampling of coded ultrasound signals,and reconstruct the original signals accurately while reducing the amount of data.