Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The channel characteristics of practical code division multiple access (CDMA) systems are usually unknown and difficult to model accurately. Type-based receivers, without assuming any a priori model, extract signals successfully from background noise. ,  develop type-based receivers that address two major issues in CDMA signal reception: multiple access interference and multipath fading.  first present the type-based receiver with interference suppression capability, assuming the knowledge of the code and timing of the intended user only.  then show that equal-gain combining (EGC) of type-based statistics is the asymptotically optimal technique for diversity empirical detection. Compared with maximal ratio combining of matched filter outputs, the diversity receiver with EGC of type-based statistics assumes less channel knowledge and yields competitive detection performance in Gaussian noise and better performance in Laplacian noise.
['Lin Yue', 'Don H. Johnson']
I am writing a research paper on a idea Adaptive reception of wireless CDMA signals using empirical detection
[{"from": "human", "value": "I am writing a research paper on a idea Adaptive reception of wireless CDMA signals using empirical detection"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The channel characteristics of practical code division multiple access (CDMA) systems are usually unknown and difficult to model accurately. Type-based receivers, without assuming any a priori model, extract signals successfully from background noise. ,  develop type-based receivers that address two major issues in CDMA signal reception: multiple access interference and multipath fading.  first present the type-based receiver with interference suppression capability, assuming the knowledge of the code and timing of the intended user only.  then show that equal-gain combining (EGC) of type-based statistics is the asymptotically optimal technique for diversity empirical detection. Compared with maximal ratio combining of matched filter outputs, the diversity receiver with EGC of type-based statistics assumes less channel knowledge and yields competitive detection performance in Gaussian noise and better performance in Laplacian noise."}]