Systems Engineering and Electronics ›› 2024, Vol. 46 ›› Issue (4): 1456-1465.doi: 10.12305/j.issn.1001-506X.2024.04.35

• Communications and Networks • Previous Articles    

Single-mixed signal modulation and recognition algorithm for MIMO-OFDM system based on multi-feature fusion

Han ZOU, Tianqi ZHANG, Kunran MA, Zongfang YANG   

  1. School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
  • Received:2022-12-13 Online:2024-03-25 Published:2024-03-25
  • Contact: Han ZOU

Abstract:

In order to solve the modulation recognition problem of single-mixed signal under multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) system in non-cooperative communication, this paper proposes a modulation and recognition method based on multi-feature fusion and decision fusion. Firstly, the joint approximate diagonalization of eigenvalue matrix (JADE) algorithm is used to recovery the transmitted signal from the receiving end. The quartic spectrum, cyclic spectrum and higher-order cumulants of the recovery signal are then extracted as input samples. Secondly, the multi-feature fusion network is used to train the input samples. Finally, the decision fusion strategy is used to obtain the final judgment result according to the output of each branch. Simulation result shows that the proposed method can effectively identify seven signals in MIMO-OFDM system, and the recognition accuracy can reach 99.4% at a signal-to-noise ratio of 10 dB.

Key words: orthogonal frequency division multiplexing single-mixed signal, modulation recognition, quartile spectrum, cyclic spectrum, higher-order cumulants, decision fusion

CLC Number: 

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