Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The method for blind recognition of real orthogonal STBC of underdetermined systems based on sparse component analysis is proposed. This algorithm first built the model of received signals and the virtual channel matrix, as the virtual channel matrix includes information of space time code and can be used for blind recognition, and then the virtual channel matrix is separated by using the DEM algorithm. Finally two characteristic parameters of correlation matrix of virtual channel matrix are extracted according to the characteristics of real orthogonal STBC for blind recognition such as sparsity and energy ratio of non-main and main diagonal elements energy. The simulation results and theoretical analysis indicates that the proposed algorithm can detect signals efficiently and also work ll on the lor SNR input.
['S. I. M. M. Raton Mondol', 'Bui Quang Chung', 'Zhang Tian Qi']
I am writing a research paper on a idea Real Orthogonal STBC MC-CDMA Blind Recognition Based on DEM-Sparse Component Analysis
[{"from": "human", "value": "I am writing a research paper on a idea Real Orthogonal STBC MC-CDMA Blind Recognition Based on DEM-Sparse Component Analysis"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The method for blind recognition of real orthogonal STBC of underdetermined systems based on sparse component analysis is proposed. This algorithm first built the model of received signals and the virtual channel matrix, as the virtual channel matrix includes information of space time code and can be used for blind recognition, and then the virtual channel matrix is separated by using the DEM algorithm. Finally two characteristic parameters of correlation matrix of virtual channel matrix are extracted according to the characteristics of real orthogonal STBC for blind recognition such as sparsity and energy ratio of non-main and main diagonal elements energy. The simulation results and theoretical analysis indicates that the proposed algorithm can detect signals efficiently and also work ll on the lor SNR input."}]