Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A code-constrained inverse filter criterion based approach was recently presented by J.K. Tugnait and Tongtong Li (see IEEE Trans. Sig. Processing, vol.SP-49, p.1300-9, 2001) for blind detection of a desired user in asynchronous short-code DS-CDMA (direct sequence code division multiple access) systems over multipath channels. The method proposed therein works ll for low-to-moderate loading; hover, it can converge to an undesired user under high loading.  augment this method with a binary hypothesis testing approach for extracted user identification (whether the desired user is acquired/extracted) and for successive user cancellation (if an undesired user is extracted, cancel its contribution and repeat). An illustrative simulation example is presented.
['Anghong Ma', 'J.K. Tagnait']
I am writing a research paper on a idea A hypothesis testing approach to blind DS-CDMA user identification and detection via code-constrained successive cancellation
[{"from": "human", "value": "I am writing a research paper on a idea A hypothesis testing approach to blind DS-CDMA user identification and detection via code-constrained successive cancellation"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A code-constrained inverse filter criterion based approach was recently presented by J.K. Tugnait and Tongtong Li (see IEEE Trans. Sig. Processing, vol.SP-49, p.1300-9, 2001) for blind detection of a desired user in asynchronous short-code DS-CDMA (direct sequence code division multiple access) systems over multipath channels. The method proposed therein works ll for low-to-moderate loading; hover, it can converge to an undesired user under high loading.  augment this method with a binary hypothesis testing approach for extracted user identification (whether the desired user is acquired/extracted) and for successive user cancellation (if an undesired user is extracted, cancel its contribution and repeat). An illustrative simulation example is presented."}]