Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  propose in this paper to show how a one-bit sampling receiver can be more efficient in some cases than the classical correlation receiver for Impulse Radio Ultra Wide Band (IR-UWB) communications with high Multi User Interferences (MUI). This one-bit sampling receiver can also be seen as a hard decoding process of the classicla repetition code used in UWB IR. Thus hard decoding can be more efficient than soft decoding in some cases. Such a result is based on the special distribution of UWB MUI. It is known that MUI distribution is not Gaussian in several cases. The classical correlation receiver which is adapted to Gaussian noise, is not adapted to the particular form of UWB MUI.  show that modeling MUI by a generalized Gaussian distribution helps in deriving a receiver which in some cases is nearly equivalent to the one-bit sampling receiver.
['Jocelyn Fiorina']
I am writing a research paper on a idea On the Benefit of a One-Bit Sampling Receiver and Hard Decoding in Impulse Radio Ultra Wide Band Communications With Multi-User Interferences
[{"from": "human", "value": "I am writing a research paper on a idea On the Benefit of a One-Bit Sampling Receiver and Hard Decoding in Impulse Radio Ultra Wide Band Communications With Multi-User Interferences"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  propose in this paper to show how a one-bit sampling receiver can be more efficient in some cases than the classical correlation receiver for Impulse Radio Ultra Wide Band (IR-UWB) communications with high Multi User Interferences (MUI). This one-bit sampling receiver can also be seen as a hard decoding process of the classicla repetition code used in UWB IR. Thus hard decoding can be more efficient than soft decoding in some cases. Such a result is based on the special distribution of UWB MUI. It is known that MUI distribution is not Gaussian in several cases. The classical correlation receiver which is adapted to Gaussian noise, is not adapted to the particular form of UWB MUI.  show that modeling MUI by a generalized Gaussian distribution helps in deriving a receiver which in some cases is nearly equivalent to the one-bit sampling receiver."}]