Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents a novel algorithm of spatial and temporal equalization for multiuser detection with an antenna array based on a robust subspace method and a self-adaptive step-size training technique. Our robust approach includes two procedures. In the first procedure, a robust subspace technique is utilized to reduce the high-por of additive noise and the correlation among the channels. Moreover, a cross-validation technique is applied to estimate the number of signals. In the second procedure, a self-adaptive algorithm for updating the stepsize coefficient is presented in order to identify a dynamic channel. The computer simulation results illustrate the effectiveness and performance of the proposed method.
['Jianting Cao', 'Takeshi Hattori']
I am writing a research paper on a idea A novel algorithm of spatial and temporal equalization for multiuser detection with an antenna array
[{"from": "human", "value": "I am writing a research paper on a idea A novel algorithm of spatial and temporal equalization for multiuser detection with an antenna array"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents a novel algorithm of spatial and temporal equalization for multiuser detection with an antenna array based on a robust subspace method and a self-adaptive step-size training technique. Our robust approach includes two procedures. In the first procedure, a robust subspace technique is utilized to reduce the high-por of additive noise and the correlation among the channels. Moreover, a cross-validation technique is applied to estimate the number of signals. In the second procedure, a self-adaptive algorithm for updating the stepsize coefficient is presented in order to identify a dynamic channel. The computer simulation results illustrate the effectiveness and performance of the proposed method."}]