For wireless communications, the multiple-input multiple-output (MIMO) system efficiently makes use of spectrum and enhances transmission throughput. In this work, maximum-likelihood (ML) detection for MIMO is studied, two ML algorithms are first considered system, including sphere decoding (SD) algorithm an based on differential metrics (DMs). Each has its advantages disadvantages. The modifie...

In this paper, symbol-by-symbol maximum likelihood (ML) detection is proposed for a cooperative diffusion-based molecular communication (MC) system. In this system, an fusion center (FC) chooses the transmitter’s symbol that is more likely, given the likelihood of the observations from multiple receivers (RXs). We propose three different ML detection variants according to different constraints ...

in this paper, the detection of moving targets in airborne widely separated phased multiple input multiple output (mimo) radars which are located on moving platform is investigated. in order to derive the detector, the generalized likelihood ratio test is applied. the proposed detection rule, exploits the clutter subspace information and its maximum likelihood estimation, to improve the detecti...

Rotating machinery is the most common machinery in industry. The root of the faults in rotating machinery is often faulty rolling element bearings. This paper presents a technique using optimized artificial neural network by the Bees Algorithm for automated diagnosis of localized faults in rolling element bearings. The inputs of this technique are a number of features (maximum likelihood estima...