Multiple-input multiple-output (MIMO) radar has become a thriving subject of research during the past decades. In the MIMO radar context, it is sometimes more accurate to model the radar clutter as a nonGaussian process, more specifically, by using the spherically invariant random process (SIRP) model. In this paper, we focus on the estimation and performance analysis of the angular spacing bet...

This paper studies the detection performance of a multiple-input-multiple-output (MIMO) multifunction radio frequency (MFRF) system, which simultaneously supports radar, communication, and jamming. We show that MIMO MFRF system improves as transmit signal-to-interference-plus-noise-ratio (SINR) increases. To analyze achievable SINR we formulate an maximization problem under communication jammin...

The idea of using multiple transmit and receive antennas in wireless communication systems is one of the most important breakthroughs in communication theory during the last decade. Popularly referred to as MIMO technology, this concept can greatly improve data throughput and link performance in wireless networks. In principle, a MIMO system can operate in, or anywhere between, one of the two p...

Virtual multiple input multiple output (MIMO) techniques are used for energy efficient communication in wireless sensor networks. We investigate virtual MIMO for fixed and variable rates. We propose energy efficient routing based on virtual MIMO. The simulation results show that virtual MIMO based routing is more energy efficient as compared to SISO (single input single output) for larger dista...

The gist of Multiple-Input-Multiple-Output (MIMO) technique is its ability to provide increased channel rate with the use of multiple antennas, thus increasing spatial diversity gain. Correspondingly, there is a noticeable amount of increase in the number of users in wireless systems equipped with MIMO technology. In this work, the performance of MIMO Systems have been analyzed with transmit an...

In this paper, we investigate an expectation-maximization (EM) maximum likelihood (ML) algorithm of direction finding (DF) for bistatic multiple-input multiple-output (MIMO) radar, where it is shown that the DF problem can be described as a special case of ML estimation with incomplete data. First, we introduce the signal and the noise models, and derive the ML estimations of the direction para...