TY - GEN
T1 - A Multipath Matching Pursuit algorithm Based on Improved-Inner Product Matching Criterion
AU - Wu, Menghang
AU - Wu, Feiyun
AU - Yang, Kunde
AU - Tian, Tian
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/8/21
Y1 - 2020/8/21
N2 - The traditional multipath matching pursuit (MMP) algorithm generally uses inner product matching criteria (IPMc) to select the best atom for signal reconstruction, and often lose some important information of atoms. Therefore, any two similar atoms of the observation matrix will affect the process of selecting the best atom for the residual signal, and reduce the quality of signal reconstruction. Using the improved inner product matching criteria (I-IPMc) improves the sensitivity of the MMP algorithm to atom values, optimizes the selection of support sets, and reduces the impact of similar atoms on the matching process. The simulation results show that under the same conditions, the MMP algorithm based on the I-IPMc has better reconstruction quality and higher signal reconstruction probability than the traditional MMP algorithm.
AB - The traditional multipath matching pursuit (MMP) algorithm generally uses inner product matching criteria (IPMc) to select the best atom for signal reconstruction, and often lose some important information of atoms. Therefore, any two similar atoms of the observation matrix will affect the process of selecting the best atom for the residual signal, and reduce the quality of signal reconstruction. Using the improved inner product matching criteria (I-IPMc) improves the sensitivity of the MMP algorithm to atom values, optimizes the selection of support sets, and reduces the impact of similar atoms on the matching process. The simulation results show that under the same conditions, the MMP algorithm based on the I-IPMc has better reconstruction quality and higher signal reconstruction probability than the traditional MMP algorithm.
KW - Improved inner product matching criterion (I-IPMc)
KW - MMP algorithm
KW - signal reconstruction
UR - https://www.scopus.com/pages/publications/85097932014
U2 - 10.1109/ICSPCC50002.2020.9259501
DO - 10.1109/ICSPCC50002.2020.9259501
M3 - 会议稿件
AN - SCOPUS:85097932014
T3 - ICSPCC 2020 - IEEE International Conference on Signal Processing, Communications and Computing, Proceedings
BT - ICSPCC 2020 - IEEE International Conference on Signal Processing, Communications and Computing, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2020
Y2 - 21 August 2020 through 23 August 2020
ER -