Open AccessAmplitude-Fluctuation Separation Based on BPM Waveform Reconstruction in MIMO Systems
Author(s) -
Xinrui Qin,
Xiaoqi Yang,
Wenli Jiang
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1284/1/012073
Subject(s) - waveform , orthogonality , algorithm , amplitude , mimo , phase (matter) , monte carlo method , signal (programming language) , mean squared error , binary number , channel (broadcasting) , mathematics , computer science , physics , telecommunications , optics , statistics , radar , geometry , quantum mechanics , programming language , arithmetic
In Multi-input-multi-output (MIMO) systems, the orthogonality among sub-waves could be realized by binary phase modulation (BPM) encoding. Especially in the case of insufficient matched filters, Hadamard-matrix-based BPM encoding could be employed to separate the transmitted signal from echo effectively, which is verified firstly in this paper by utilizing target location, when introducing fluctuations in amplitude as well as in phase. Hence the amplitude-fluctuation separation method based on waveform reconstruction is put forward. The waveform is reconstructed on basis of the known array structure, and then the results are optimized obeying the minimum mean square error (MSE) criterion to obtain more accurate estimation. Compared with the traditional single-channel blind source separation approach, this method shows significant computation reduction by taking full use of the phase and structure information. Monte-Carlo experiments validate the method application in angle estimation improvement.