LMS Blind Space-Time Multiuser Detection in Multipath CDMA Channels;

This novel adaptive beamforming algorithm uses FFT for the received signal,passes the band-pass filter and finally uses the LMS algorithm to implement adaptive.

This paper proposes a LMS filtering method for channel estimation in OFDM systems.

The transformed signal is used as the input to least mean square self-adapting filter algorithm with stage Ⅱ.

The least mean square (LMS) linear prediction method was introduced to detect data points of a surface.

The popular TDE algorithms mainly include the classical generalized cross correlation(GCC),the adaptive least mean square(LMS),the subspace based eigenvalue decomposition(EVD)and the acoustic transfer functions ratio(ATF-s ratio) methods,et.

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.