MIMO Signal Detection Using Neyman Pearson Signal Detection

Abstract: In current scenario, the demand for wireless communication is increasing drastically. A wireless system has number of advantages over its wired counterpart including allowing a communication link to be set up quickly without the difficulty and expense of installing data transmission lines. The wireless communications industry has experienced an explosive growth in the last decade. One of the most promising spectrums an efficient technique is multiple-input- multiple-output (MIMO) systems that employ multiple transmits and receives antennas. The multiple inputs multiple outputs (MIMO) radar system transmits M antennas and receives N antennas. In this proposed system first step can be initially derive the diversity gain for a signal present versus signal absent scalar hypothesis test statistic and for a vector signal present versus vector signal absent hypothesis test. The MIMO radar system, used to detect a target composed of Q random scatterers with possibly non-Gaussian reflection coefficients in the presence of possibly non-Gaussian clutter-plus-noise. Diversity gain for the MIMO radar system is dependent on the cumulative distribution function (CDF). In this maximum possible diversity gain can be achieved for non orthogonal waveforms.

Keywords: Neyman–Pearson detection, Diversity gain, multiple-input multiple output (MIMO) system, signal space.