膛口冲击波信号亚奈奎斯特速率采样

Muzzle Shock Wave Signal Sub-Nyquist Rate Sampling

为降低无线网络内数据传输量,采用一种基于压缩感知的随机解调器改进方法,以信源降采样为框架先降低前端采样数据量,再以后端重构的方式缓解网络内传输压力。该方法的核心思想是利用马尔科夫链序列替代经典的m序列与膛口冲击波信号混频。通过提高混频序列与膛口冲击波信号的相关性实现降采样数据重构质量的提升。理论分析与实验表明,该方法将混频序列与膛口冲击波信号相关性由0.0176提升至0.122,在采样率由2 MSa/s降至250 KSa/s的情况下,数据传输量降低87.5%,重构误差小于2.5%。

In order to reduce the amount of data transmitted in the wireless network,this paper proposes an improved Random Demodulator method based on Compressed sensing,which firstly reduces the amount of data sampled in the front end and then reconstructs the data from the back end to relieve the transmission pressure in the network.The core idea of the method in this paper is to use Markov-generated Sequence to replace the classical M Sequence,and mix the frequency of the muzzle-bore shock wave signal.By improving the correlation between frequency mixing sequence and muzzle shock wave signal,the reconstruction quality of downsampled data is improved.Theoretical analysis and experimental results show that the correlation between the frequency mixing sequence and the muzzle-wave signal is increased from 0.0176 to 0.122 by using the new method in this paper,and the data transmission is reduced by 87.5%and the reconstruction error is less than 2.5%when the sampling rate is reduced from 2 MSa/s to 250 KSa/s.