Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents a maximum likelihood sequence detection (MLSD) receiver which performs joint data detection, channel equalization and synchronization over a fast frequency-selective Rayleigh fading channel. An optimal per-survivor processing (PSP) technique is employed which is a combination of statistical channel modeling and differential Kalman filter. It is shown that by incorporating the synchronization parameters into the channel impulse response and modification of the resulting state space model by a differential approach, frequency synchronization can be achieved by a simple adaptive algorithm in addition to data detection and channel estimation. It is also shown that by applying the so called approach, the differential Kalman filter could be simplified to a simple LMS estimator without any considerable lack in performance.
['Amir Masoud Rabiei', 'Saeed Gazor', 'Subbarayan Pasupathy']
I am writing a research paper on a idea A synchronized per-survivor MLSD receiver using differential Kalman filter
[{"from": "human", "value": "I am writing a research paper on a idea A synchronized per-survivor MLSD receiver using differential Kalman filter"}, {"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 maximum likelihood sequence detection (MLSD) receiver which performs joint data detection, channel equalization and synchronization over a fast frequency-selective Rayleigh fading channel. An optimal per-survivor processing (PSP) technique is employed which is a combination of statistical channel modeling and differential Kalman filter. It is shown that by incorporating the synchronization parameters into the channel impulse response and modification of the resulting state space model by a differential approach, frequency synchronization can be achieved by a simple adaptive algorithm in addition to data detection and channel estimation. It is also shown that by applying the so called approach, the differential Kalman filter could be simplified to a simple LMS estimator without any considerable lack in performance."}]