Low complexity metrics for BICM SISO and MIMO systems

• The proposed block diagonal matrix based massive MIMO uplink detection scheme and the block Gauss-Seidel method for V2I communications have shown much reduced processing delay

Low Complexity Algorithm − lower bound on SR Prop... Low Complexity Algorithm − lower bound on

We present in this section the model and the processing of the MIMO STAP data using firstly conventional approach and secondly multidimensional approach based on the AU- HOSVD. We

To reduce the computational burden, we adopt a precoding technique based on truncated polynomial expansion (TPE) and make use of the asymptotic analysis to compute the

The proposed estimators converge to the MMSE estimator as L grows large, but by deriving the optimal coefficients for the polynomial we can obtain near-optimal MSE performance at

Abstract— In a Multiple Input Multiple Output (MIMO) context, we present, in this paper, a Space-Time Bit Interleaved Coded Modulation (STBICM) system combined with a space-

Abstract—This paper addresses the problem of the clutter subspace projector estimation in the context of a disturbance composed of a low rank heterogeneous (Compound Gaussian)

As the function f has been identified on E, the identifica- tion methodology follows as in Section 3.2 and consists in transforming the identification problem for Hammerstein or