OFDM joint data detection and phase noise cancellation based on minimum mean square prediction error

OFDM joint data detection and phase noise cancellation based on minimum mean square prediction error

This paper proposes a new iterative algorithm for OFDM joint data detection and phase noise (PHN) cancellation based on minimum mean square prediction error. We particularly highlight the relatively less studied problem of “overfitting” such that the iterative approach may converge to a trivial solution. Specifically, we apply a hard decision procedure at every iterative step to overcome the ov...

A minimum mean square error channel estimator for OFDM

A minimum mean square error channel estimator for OFDM

Notes on Linear Minimum Mean Square Error Estimators

Some connections between linear minimum mean square error estimators, maximum output SNR filters and the least square solutions are presented. The notes have been prepared to be distributed with EE 503 (METU, Electrical Engin.) lecture notes. 1 Linear Minimum Mean Square Error Estimators The following signal model is assumed: r = Hs + v (1) Here r is a N × 1 column vector denoting the observati...

Minimum mean-square-error expression of LMMSE channel estimation in SISO OFDM systems

An expression of the minimum mean square error (MMSE) of the linear MMSE channel estimation is given in the case of a non-invertible channel covariance matrix, as in single-input single-output (SISO) OFDM system. A matrix expression, already proposed for a multiinput multi-output OFDM system in a previous article, is not valid in SISO. A new proof is then proposed, by deriving a scalar expressi...