MIMO radar diversity with Neyman-Pearson signal detection in non-Gaussian circumstance with non-orthogonal waveforms

The diversity gain of a multiple-input multiple-output (MIMO) system adopting the Neyman-Pearson (NP) criterion is derived for a signal-present versus signal-absent scalar hypothesis test statistic and for a vector signal-present versus signal-absent hypothesis testing problem. The results are applied to a MIMO radar system with M transmit and N receive antennas, 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. It is found that the diversity gain for the MIMO radar system is dependent on the cumulative distribution function (cdf) of the reflection coefficients while invariant to the cdf of the clutter-plus-noise under some reasonable conditions. If the noise-free received waveforms at each receiver span a space of dimension M ≤ M, the largest possible diversity gain is controlled by min (NM , Q) and the cdf of the magnitude square of a linear transformed version...

• Type: Journal
• Year: 2011
• Where: ICASSP
• Authors: Qian He, Rick S. Blum
• Keywords: Diversity Gain, ICASSP 2011, MIMO Radar, Reflection Coefficient, Signal Processing