This letter addresses the problem of symbol error probability (SEP) analysis for maximum
likelihood (ML) detection in multiple-input multiple-output (MIMO) multiplexing systems. A …

This paper addresses the problem of performance analysis for maximum likelihood (ML)
detection in two-input multiple-output multiplexing systems. A novel analytical method is …

In this paper, we propose a simplified Maximum Likelihood (ML) detection scheme for
Multiple-Input Multiple-Output (MIMO) system that has much less computational complexity …

For multiple-input multiple-output (MIMO) systems, the optimum maximum likelihood (ML)
detection requires tremendous complexity as the number of antennas or modulation level …

In this paper, we propose a novel near maximum likelihood detection (MLD) scheme for
wireless multiple-input multiple-output (MIMO) systems. The scheme is to reduce the …

A multiple transmit and multiple receive antenna system, referred to as a multiple-input
multiple-output (MIMO) system, is known to achieve large channel capacity without …

This paper proposes a suboptimal maximum likelihood detection (MLD) algorithm for
multiple-input multiple-output (MIMO) communications. The proposed algorithm regards …

We propose a simplified maximum likelihood (ML) detection scheme, based on a multi-stage
likelihood test, for MIMO systems. The proposed scheme chooses several surviving symbol …

This paper presents a low complexity metric for joint maximum-likelihood detection (MLD) in
overloaded multiple-input multiple-output (MIMO)-orthogonal frequency division multiplexing …

We derive two types of approximate maximum likelihood (ML) detection based on minimum
mean squared error (MMSE), MMSE-CML (conditional ML) detection and MMSECLML …