Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Abstract#R##N##R##N# present iterative channel estimation and decoding schemes for multi-input multi-output (MIMO) Rayleigh block fading channels in spatially correlated noise. An expectation-maximization (EM) algorithm is utilized to find the maximum likelihood (ML) estimates of the channel and spatial noise covariance matrices, and to compute soft information of coded symbols which is sent to an error-control decoder. The extrinsic information produced by the decoder is then used to refine channel estimation. Several iterations are performed beten the above channel estimation and decoding steps.  derive modified Cramer–Rao Bound (MCRB) for the unknown channel and noise parameters, and show that the proposed EM-based channel estimation scheme achieves the MCRB at medium and high SNRs. For a bit error rate of 10−6 and long frame length, there is negligible performance difference beten the proposed scheme and the ideal coherent detector that utilizes the true channel and noise covariance matrices. Copyright © 2006 John Wiley & Sons, Ltd.
['Wei Mo', 'Zhengdao Wang', 'Aleksandar Dogandzic']
I am writing a research paper on a idea EM‐based iterative receiver for coded MIMO systems in unknown spatially correlated noise
[{"from": "human", "value": "I am writing a research paper on a idea EM\u2010based iterative receiver for coded MIMO systems in unknown spatially correlated noise"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Abstract#R##N##R##N# present iterative channel estimation and decoding schemes for multi-input multi-output (MIMO) Rayleigh block fading channels in spatially correlated noise. An expectation-maximization (EM) algorithm is utilized to find the maximum likelihood (ML) estimates of the channel and spatial noise covariance matrices, and to compute soft information of coded symbols which is sent to an error-control decoder. The extrinsic information produced by the decoder is then used to refine channel estimation. Several iterations are performed beten the above channel estimation and decoding steps.  derive modified Cramer\u2013Rao Bound (MCRB) for the unknown channel and noise parameters, and show that the proposed EM-based channel estimation scheme achieves the MCRB at medium and high SNRs. For a bit error rate of 10\u22126 and long frame length, there is negligible performance difference beten the proposed scheme and the ideal coherent detector that utilizes the true channel and noise covariance matrices. Copyright \u00a9 2006 John Wiley & Sons, Ltd."}]