Abstract: Soft symbol estimation (SSE) is the first process in soft interference cancellation minimum mean squared error (SIC-MMSE) detection for multiple-input multiple-output (MIMO) systems.
Dec 21, 2020
Dec 31, 2020 · ABSTRACT Soft symbol estimation (SSE) is the first process in soft interference cancellation minimum mean squared error (SIC-MMSE) detection ...
Jun 20, 2024 · Soft symbol estimations (SSE) is the first process in soft interference cancellation minimum mean squared error (SIC-MMSE) detection for ...
This letter presents compact universal equations to estimate soft symbol values for 2K-ary QAM and PSK schemes that can be applied to any MMSE-based iterative ...
This paper proposes a complexity reduced soft MMSE-PIC detection scheme by approximating the Gram matrix with a derived diagonal matrix.
Min-sum soft symbol estimation for iterative MMSE detection. S Chan, S Kim. IEEE Access 8, 226240-226247, 2020. 5, 2020. Review and Evaluation of Belief ...
Section 3 presents a new minimum-mean-square-error (MMSE) based soft equalization method by taking into account the channel nonlinearity and also compares the ...
is the vector of all soft-symbol estimates from (7). Now, from (10) we have z = X−1(YMF − G d. ) + diag(X−1G) ◦ d,. (15) where YMF = HH Y and G = HHH is ...
May 22, 2024 · Abstract—In this paper, we propose low-complexity local detectors and log-likelihood ratio (LLR) refinement techniques.
An SISO MMSE detector performs MMSE filtering to can- cel the interference and outputs the soft symbols and variances that represent the estimated symbols in a ...