Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Baseband digital communication in “electromagnetic measurement while drilling” systems (EM-MWD) is often corrupted by surface noise. The conventional correlation receiver works ll under the assumption of additive white Gaussian noise (AWGN); hover in practice, the noise is actually non-stationary and usually contains spectral peaks in lor frequency range. In this research, a new approach based on artificial neural network is investigated. The neural network receiver has adaptive learning ability and outperforms the correlation receiver under various noise conditions, especially in the situation of non-white noise as ll as the real world noise taken from actual drilling sites.
['Timothy Whitacre', 'Xiao-Hua Yu']
I am writing a research paper on a idea A neural network receiver for EM-MWD baseband communication systems
[{"from": "human", "value": "I am writing a research paper on a idea A neural network receiver for EM-MWD baseband communication systems"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Baseband digital communication in \u201celectromagnetic measurement while drilling\u201d systems (EM-MWD) is often corrupted by surface noise. The conventional correlation receiver works ll under the assumption of additive white Gaussian noise (AWGN); hover in practice, the noise is actually non-stationary and usually contains spectral peaks in lor frequency range. In this research, a new approach based on artificial neural network is investigated. The neural network receiver has adaptive learning ability and outperforms the correlation receiver under various noise conditions, especially in the situation of non-white noise as ll as the real world noise taken from actual drilling sites."}]