The Turbo equalization with MMSE soft-cancellation can eliminate co-channel interference(CCI) and multiuser interference, which is an important technique for frequency selective fading channel and need obtain filter coefficients by minimum-mean-squared-error (MMSE) for multi-antenna transmit systems, but there are different coefficients with different constraints with space and time variable.

typical detection methods, including ML and MAP of non-linear detection technology, and QR, ZF and MMSE of linear detection technology.

The state equation and measurement equation for detecting the weld position is established,and the optimal estimation of the Kalman filtering recursive algorithm also is established according to the principle of minimum mean square error.

A sub-optimal channel estimation algorithm in orthogonal frequency division multiplexing(OFDM) system was proposed,to reduce the complexity of traditional minimum mean square error(MMSE) channel estimator,and to alleviate the performance deterioration of MMSE estimator due to the mismatch of the estimator-to-channel statistics.

Both channel and echo response can be shortened at random with a single FIR equalizer by following the minimum mean square error rule.

This technique is based on the suboptimal subspace blind minimum mean square error (MMSE) algorithm of multiuser detection.

A multi-user detection(MUD) algorithm for fast frequency hopping multiply access/multilevel frequency shift keying communication systems is proposed,based on minimum mean square error(MMSE).

On the receiver,soft-input soft-output(SISO) channel decoder is used following minimum mean square error(MMSE) soft interference cancellation detector,and the turbo-like idea is used for the iterative detect.

High computational complexity is the main problem of the minimum mean square error(MMSE)soft interference can- cellation(SIC)based multiple-input multiple-output(MIMO)Turbo receiver.