Title :
Properties of robust MIMO detector
Author :
Chong, C.Y. ; Pascal, F. ; Ovarlez, J.-P. ; Lesturgie, M.
Author_Institution :
SONDRA, Supelec, Gif-sur-Yvette, France
Abstract :
Previously, using the Maximum Likelihood (ML) method, we obtained a new Gaussian Multiple-Input Multiple-Output (MIMO) detector which is robust to the correlation between the subarrays [1]. It is found that this new detector has the same statistical properties in the absence of target irregard-less if the subarrays are correlated or not. It becomes the MIMO Optimum Gaussian Detector (OGD) [2, 3] when the subarrays are uncorrelated. In this paper, we define two main configurations, transmit or receive diversity, with varying degree of freedoms (subarrays). Using these configurations, we study the detection performance of this detector and its adaptive version with respect to various parameters.
Keywords :
Gaussian processes; MIMO radar; adaptive signal detection; array signal processing; diversity reception; maximum likelihood detection; radar detection; radar signal processing; adaptive detection; degree of freedom variation; maximum likelihood method; multiple input multiple output; optimum Gaussian detector; receive diversity; robust Gaussian MIMO detector; statistical property; subarrays; transmit diversity; Clutter; Correlation; Covariance matrices; Detectors; MIMO; Robustness; Signal to noise ratio;
Conference_Titel :
Signal Processing Conference, 2010 18th European
Conference_Location :
Aalborg